Simulation modeling optimization method for high arch dam based on dynamic response mechanism of adverse weather

Abstract

The present invention belongs to the field of high arch dam construction simulation modeling, and relates to a high arch dam simulation modeling optimization method based on an adverse weather dynamic response mechanism, including: 1) establishing a response mode consistent with the actual high arch dam construction for the adverse meteorological conditions that affect the high arch dam construction; 2) calculating the forecast period of the next casting bin or the forecast period of the next slab layer, analyzing the adverse weather impact during the forecast period, and obtaining the analysis results of the adverse weather impact during the forecast period; 3) according to the analysis results of the adverse weather impact during the forecast period and the established response mode, adopting a pre-response mechanism for the construction activities to be started, and adopting an in-process response mechanism for the ongoing construction activities; 4) integrating into the high arch dam construction simulation model developed based on the discrete event system principle to complete the modeling optimization. The present invention can simulate the adverse weather impact effect according to weather forecast data and adopt a response mode consistent with the actual construction, thereby optimizing the high arch dam construction simulation model and improving the simulation accuracy.

Description

Technical Field

[0001] The invention belongs to the field of high arch dam construction simulation modeling, relates to a high arch dam simulation modeling optimization method, and in particular to a high arch dam simulation modeling optimization method based on an adverse weather dynamic response mechanism. Background Art

[0002] The construction of high arch dams is greatly affected by uncertain factors such as topographic geological conditions and external environment, and the construction period is tight and the quality control is strict, so high precision is required for construction management. As an important means to optimize the scheme and improve construction efficiency, construction simulation has achieved certain results in arch dam construction practice. However, due to the complex and changeable adverse weather, there is generally a certain deviation between the simulation calculation results of arch dam construction and the actual progress.

[0003] At present, in the simulation modeling of high arch dam construction, the probability distribution of adverse weather is generally calculated based on the average meteorological data of the project over many years, and the effective construction days per month (that is, the remaining construction days per month excluding the adverse weather effects) are set to simulate the impact of adverse weather on the construction progress. There are four main problems with this adverse weather simulation method: First, when the historical meteorological data of the project is incomplete, the probability statistics will be inaccurate; second, the weather is dynamically changing, and the effective construction days per month obtained by random sampling using the probability distribution of adverse weather is different from the adverse weather effects encountered during the actual construction process; third, generally only the individual effects of adverse weather such as strong winds, heavy rains and high temperatures are considered, while there are actually many types of adverse weather, and there are situations where they occur simultaneously; fourth, setting the adverse weather impact period in units of days will cause a long waste of construction time.

[0004] In addition, in traditional arch dam construction simulation, the response to adverse weather is generally considered as not opening the warehouse, that is, when making the decision to open the warehouse, it is judged whether it will be affected by adverse weather. If the judgment result is yes, the warehouse will not be opened, and the judgment and opening will be made again after the adverse weather passes. However, the weather is changing. The weather forecast value used in the decision to open the warehouse may change during the pouring process, that is, the pouring process may be affected by adverse weather, which is exactly what the traditional arch dam simulation system ignores. Considering the changes and suddenness of adverse weather, the actual construction organization adopts a richer response mode. For example, when the pouring process is affected by heavy rain, the pouring activity will be temporarily interrupted and the warehouse will be closed urgently. After the heavy rain, the surface will be firstly treated with water accumulation or roughening (depending on the duration of the heavy rain, see the implementation method for details), and then the pouring activity will be resumed. When encountering wind speeds of level 7 or above, the pouring activities need to be interrupted due to the great safety hazards of cable crane pouring; when the wind speed does not exceed level 7, although there are certain safety risks in cable crane pouring, safety accidents can be avoided by increasing the safety distance of the cable crane. Therefore, pouring construction is not suspended in actual operation. It can be seen that there is still a big gap between simulating the impact of adverse weather by only not opening new warehouses and the flexible and rich response modes in actual high arch dam construction. Summary of the invention

[0005] In order to solve the above-mentioned technical problems existing in the background technology, the present invention provides a high arch dam simulation modeling optimization method based on the dynamic response mechanism of adverse weather, which is combined with rich response modes of actual construction, can better simulate the impact of adverse weather on the construction of high arch dams according to weather forecast data, optimize the high arch dam construction simulation model, and further improve the simulation accuracy.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism, characterized in that: the high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism comprises the following steps:

[0008] Step 1) establishing a response model consistent with the actual high arch dam construction in response to adverse meteorological conditions affecting the high arch dam construction;

[0009] Step 2) in the high arch dam construction simulation model, calculating the forecast period of the next casting bin or the forecast period of the next slab layer, analyzing the impact of adverse weather during the forecast period, and obtaining the analysis result of the impact of adverse weather during the forecast period;

[0010] Step 3) Based on the analysis results of adverse weather impacts during the forecast period obtained in step 2) and the response model established in step 1), a pre-emptive response mechanism is adopted for the construction activities to be started, and an in-process response mechanism is adopted for the ongoing construction activities;

[0011] Step 4) Integrate the methods of step 2) and step 3) into the high arch dam construction simulation model developed based on the discrete event system principle to complete the modeling optimization of the high arch dam construction simulation model based on the adverse weather dynamic response mechanism.

[0012] Preferably, the adverse meteorological conditions affecting the construction of the high arch dam in step 1) adopted in the present invention include rainfall, high temperature, low temperature, strong wind, heavy fog and lightning;

[0013] The response model established in step 1) for the adverse meteorological conditions affecting the construction of high arch dams and consistent with the actual high arch dam construction is:

[0014] For the planned warehouse preparation activities, if moderate rain or above, daily average temperature below 5℃, heavy fog or thunder and lightning occur, the corresponding high arch dam construction response mode is prohibited; the corresponding high arch dam construction response mode for other weather conditions is to continue;

[0015] For the ongoing storage preparation activities, when encountering heavy rain or above, daily average temperature below -20℃, heavy fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibited; the corresponding high arch dam construction response mode for other weather conditions is to continue;

[0016] For the planned pouring activities, if moderate rain or above, temperature exceeds 28℃, daily average temperature is below -20℃, wind speed is level 6 or above, fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibition; if the daily average temperature is -20℃ or above in the low temperature season, the corresponding response mode is thin layer opening; the corresponding high arch dam construction response mode for other weather conditions is to continue;

[0017] For the ongoing pouring activities, when encountering heavy rain or above, the daily average temperature is below -20℃, the wind speed exceeds level 6, heavy fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibition; when encountering moderate and heavy rain, the daily average temperature exceeds -20℃ in the low temperature season, and the wind speed is between level 5 and 6, the corresponding response mode is continue with instructions; in addition to these weather conditions, the corresponding high arch dam construction response mode is continue.

[0018] Preferably, the moderate rain and heavy rain adopted in the present invention are divided according to the hourly rainfall; the rainfall of the moderate rain is 3-10 mm / h; the rainfall of the heavy rain is more than 10 mm / h; the high temperature is the period when the hourly temperature exceeds 28°C; the low temperature is the period when the hourly temperature is lower than 3°C; the wind speed is divided according to the hourly average wind speed; the hourly wind speed at level 5 is 29-49 km / h; the hourly wind speed at level 6 exceeds 49 km / h; the visibility of the heavy fog is less than 100m; the thunder and lightning is the thunder and lightning weather predicted by the meteorological department.

[0019] Preferably, the calculation method of the forecast period of the next blank layer in step 2) adopted by the present invention is:

[0020] T 下一坯层 = Sht / q

[0021] in:

[0022] T 下一坯层 is the forecast period of the next layer to be calculated. If the current layer is j, the forecast period of the next layer j+1 is T j+1坯层 ;

[0023] S is the area of ​​the casting bin;

[0024] h is the thickness of the blank;

[0025] q is the capacity of the cable crane tank;

[0026] t represents the cable crane pouring efficiency, i.e. the time required to complete a pouring cycle;

[0027] The calculation method of the forecast period of the next pouring bin is:

[0028] T 浇筑仓 =nSht / q

[0029] in:

[0030] n is the number of billet layers in the casting bin;

[0031] S is the area of ​​the casting bin;

[0032] h is the thickness of the blank;

[0033] q is the capacity of the cable crane tank;

[0034] t represents the cable crane casting efficiency, that is, the time required to complete a round of casting cycle.

[0035] Preferably, in step 2) of the present invention, the specific implementation method of analyzing the adverse weather impact during the forecast period and obtaining the analysis result of the adverse weather impact during the forecast period is:

[0036] For the planned opening pouring, the planned opening time t 1 , the next casting bin forecast period is calculated as T 浇筑仓 , then the next pouring bin pouring end time is t 1 +T 浇筑仓 , and compare it with the currently predicted start time of adverse weather T 不利天气开始 Contrast; if t 1 +T 浇筑仓 No later than T 不利天气开始, then the next warehouse pouring is not affected by the predicted adverse weather, and the warehouse opening plan is not affected, then the proposed warehouse opening dam block is selected to enter the pouring state; if t 1 +T 浇筑仓 Later than T 不利天气开始 , then the next dam pouring will be affected by the predicted adverse weather, the dam opening plan will be affected, and the dam block to be opened needs to be reselected;

[0037] For the current casting, the casting of the current layer j concrete is completed and the casting of the next layer j+1 concrete is started. 2 At this moment, the forecast period of the next layer is calculated as T j+1坯层 In addition, consider the time T for emergency closing in advance in case of adverse weather. 收仓 ; Similarly, the next layer of slab pouring is completed and the emergency closing is completed at the end time t 2 +T j+1坯层 +T 收仓 The start time of adverse weather impact T 不利天气开始 Contrast; if t 2 +T j+1坯层 +T 收仓 No later than T 不利天气开始 , the pouring time of the next layer of concrete does not overlap with the weather, and adverse weather does not affect the pouring of the next layer of concrete, so pouring continues; conversely, if the two overlap in time, adverse weather will affect the pouring of the next layer of concrete, and the pouring activity should be interrupted and the warehouse should be closed urgently.

[0038] Preferably, the specific implementation method of adopting the prior response mechanism for the construction activity to be started in step 3) of the present invention is:

[0039] Step 3.a.1) Obtain the analysis results of adverse weather impact during the forecast period in step 2);

[0040] Step 3.a.2) Determine whether the construction activity to be started is affected by adverse weather. If not, continue the construction activity to be started; if affected by adverse weather, proceed to step 3.a.3);

[0041] Step 3.a.3) Confirm the type and degree of adverse weather according to the response mode established in step 1). If the response mode of high arch dam construction triggered by the type and degree of adverse weather is prohibition, the construction activities to be started will be postponed until the adverse weather impact ends. 影响结束 Then turn it on again;

[0042] If the response mode of high arch dam construction triggered by the type and degree of adverse weather is thin layer opening, find the number of days affected by low temperature from the weather forecast data, and find the non-low temperature period T from the number of days affected by low temperature 非低温开始 ~T 非低温结束, divide the construction activities originally planned to start into thin layer bins, and calculate the pouring duration T of the first thin layer bin blox-1 , the pouring duration of the first thin layer bin is T blox-1 T 非低温结束 -T 非低温开始 In contrast, if the thin layer pouring time does not exceed the non-low temperature period, the planned construction activities will continue to be completed in the manner of thin layer opening, and the intermittent period of the thin layer warehouse will be adjusted; if the thin layer pouring time exceeds the non-low temperature period, the non-low temperature period will be abandoned and the planned construction activities will be postponed until the low temperature impact ends.

[0043] Preferably, the specific implementation method of adopting the in-progress response mechanism for the ongoing construction activities in step 3) of the present invention is:

[0044] Step 3.b.1) After the current slab casting activity is completed and before the next slab casting construction is started, the in-process response mechanism is implemented;

[0045] Step 3.b.2) Determine whether the pouring of the next slab layer is affected by adverse weather. If not, continue pouring the next slab layer and calculate the pouring time T of the next slab layer. 坯层 and advance the simulation clock; if affected by adverse weather, proceed to step 3.b.3);

[0046] Step 3.b.3) Confirm the type and degree of adverse weather according to the response mode established in step 1). If the response mode of high arch dam construction triggered by the type and degree of adverse weather is interruption, then while interrupting the pouring of the next slab layer, further determine the duration of the adverse weather impact. If the duration of the adverse weather impact does not exceed the initial setting time of concrete, continue pouring the next slab layer after the adverse weather impact, and press T 影响结束 +T j+1坯层 Advance the simulation clock; if the adverse weather conditions last longer than the initial setting time of the concrete, the surface of the initial setting concrete should be treated before pouring the next layer, and the T 影响结束 +T 表面处理 +T j+1坯层 Advance the simulation clock;

[0047] If the response mode of high arch dam construction triggered by the type and degree of adverse weather is to continue with instructions, the adverse weather is further confirmed. If it is a strong wind of level 5 to 6, the next layer of slab pouring will continue, and the pouring time after the reduction is (1+α)T j+1坯层 Advance the simulation clock, where α represents the cable crane efficiency reduction coefficient; when it is further confirmed that the adverse weather is only moderate to heavy rain, high temperature or low temperature with a daily average temperature exceeding -20℃, continue the next construction activity with the construction instructions attached, and the simulation clock presses T j+1坯层Advance; the construction instruction is a rain shelter construction instruction, a cooling construction instruction or a thermal insulation construction instruction.

[0048] The above-mentioned surface treatment methods are roughening and / or slurrying.

[0049] A high arch dam construction simulation model based on a dynamic response mechanism of adverse weather, characterized in that: the high arch dam construction simulation model based on a dynamic response mechanism of adverse weather is obtained based on the high arch dam simulation modeling optimization method based on a dynamic response mechanism of adverse weather as described above.

[0050] A simulation method, characterized in that: the simulation method is based on the above-mentioned high arch dam construction simulation model based on the adverse weather dynamic response mechanism, and the simulation method comprises the following steps:

[0051] S1) obtaining the actual pouring progress of the construction site, and initializing the column information, dam body information and grouting information of the dynamic simulation system according to the actual pouring progress of the construction site;

[0052] S2) setting the simulation clock to the current time, scanning whether there is a pourable bin that meets various constraints, if so, taking it as a new bin block to be opened; if not, waiting for a pourable bin that meets various constraints;

[0053] S3) Calculate the forecast period for the proposed warehouse opening, obtain the adverse weather in the forecast period from the weather forecast data, determine whether to trigger the pre-control response mechanism based on the analysis results of the adverse weather impact in the forecast period, and make a decision on the proposed warehouse opening activity based on the response results until a warehouse position that can be converted to a pouring state is found;

[0054] S4) selecting the mechanical configuration and billet layer pouring time predicted in S3) to execute pouring of the first billet layer, and advancing the simulation clock;

[0055] S5) Before the next slab layer is poured, the forecast period for continued pouring is similarly calculated, and the adverse weather factors within the forecast period are obtained from the weather forecast data. According to the analysis results of the adverse weather impact during the forecast period, it is determined whether to trigger the in-process adjustment response mechanism, and the promotion method of the next slab layer pouring is determined;

[0056] S6) when each layer is completed and the next layer is entered, S5) is repeatedly executed until the casting of the last layer is completed;

[0057] S7) determines whether the casting bin is the last bin. If not, repeat S1) to S6) until the last bin is cast and the simulation ends; if yes, the simulation ends directly.

[0058] The advantages of the present invention are:

[0059] The present invention provides a high arch dam simulation modeling optimization method based on the dynamic response mechanism of adverse weather, which combines the rich and flexible response modes of actual construction and weather forecast data, can better simulate the impact of adverse weather on high arch dam construction, and optimize the high arch dam construction simulation model. The optimization method is characterized by: combining the flexible and rich response modes of actual arch dam construction, establishing a response mode; calculating the casting time of the next bin or billet layer as the forecast period, checking the weather forecast data within the forecast period through the message mechanism, and analyzing the impact of adverse weather; considering the change of weather, respectively designing a pre-event and in-event dual response mechanism for the activities to be started and the ongoing activities in the simulation process of the high arch dam. The message mechanism and the dual response mechanism are integrated into the traditional high arch dam construction simulation model to form a high arch dam construction simulation system based on the dynamic response mechanism of adverse weather. The high arch dam construction simulation system optimized based on the above method can simulate the impact of adverse weather with a response mode closer to the actual construction, and improve the accuracy of simulation calculation. Compared with the existing technology, the present invention can consider the variability of weather in the simulation of high arch dam construction, use weather forecast data as message input, and analyze the impact of adverse weather. At the same time, the present invention designs a dynamic response mechanism for adverse weather that is closer to actual construction experience, and can make a dynamic response that meets the requirements of the specifications to adverse weather encountered before or during the high arch dam construction simulation, thereby more realistically simulating the impact of adverse weather. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a flow chart of a high arch dam simulation modeling optimization method based on an adverse weather dynamic response mechanism provided by the present invention;

[0061] Figure 2 It is a case illustration diagram of the analysis of adverse weather impact during the forecast period adopted by the present invention;

[0062] Figure 3 It is a flow chart of the pre-response mechanism adopted by the present invention;

[0063] Figure 4 It is a flow chart of the in-process response mechanism adopted by the present invention;

[0064] Figure 5 It is a simulation flow chart of the high arch dam construction simulation system based on the optimization of the adverse weather dynamic response mechanism of the present invention;

[0065] Figure 6 This is a schematic diagram of a case description of Example 1 of the high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism provided by the present invention;

[0066] Figure 7It is a schematic diagram of a case description of Example 2 of the high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism provided by the present invention. DETAILED DESCRIPTION

[0067] The present invention provides a high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism, the method comprising:

[0068] Step 1) Based on the rich response patterns of adverse weather encountered in actual arch dam construction and relevant specifications for arch dam construction, a response model was established for various adverse weather conditions of varying degrees.

[0069] Various adverse weather conditions of varying degrees mainly include six adverse meteorological conditions that affect the construction of high arch dams: rainfall, high temperature, low temperature, strong wind, heavy fog and lightning, etc. The degree of adverse weather is shown in Table 1.

[0070] The response mode established according to the actual construction organization and arch dam construction specifications is shown in Table 1. According to relevant standards and implementation engineering experience, an adverse weather response mode table was established for the six adverse meteorological factors of different degrees that affect the construction of high arch dams according to four main activities. The table reflects that the response methods of different construction activities in arch dam construction are different when they encounter different degrees of adverse weather. In the table, "√" means that the activity is not affected and can continue; "×" means that the activity is affected and needs to be prohibited or interrupted; and the text description means that the corresponding protection measures can be adopted to continue the construction. For example, if the daily average temperature is lower than -10℃, a new warehouse can be opened in a thin layer during the non-low temperature period during the day; and for the warehouse being poured, the heat storage method needs to be used to continue the pouring of the warehouse when encountering the same adverse weather; for the warehouse preparation activities affected by adverse weather, the response methods are relatively simple, with only two types: continue and prohibit.

[0071] Table 1 Adverse weather response model

[0072]

[0073] Note:

[0074] 1. The degree of rainfall is generally divided according to the hourly rainfall (in mm): "≥ moderate rain" has a rainfall range of 3 to 10 mm / h, and "≥ heavy rain" has a rainfall of more than 10 mm / h;

[0075] 2. The degree of strong wind is generally divided according to the hourly average wind speed (km / h): "≥Level 5" means the hourly wind speed is in the range of 29 to 49 km / h, ">Level 6" means the hourly wind speed exceeds 49 km / h;

[0076] 3. The influence of high temperature and low temperature has obvious seasonality. Generally, high temperature affects the summer and low temperature affects the winter. Specifically, the high temperature period that affects concrete pouring refers to the period when the hourly temperature exceeds 28°C; similarly, the low temperature period that affects concrete pouring refers to the period when the hourly temperature is below 3°C (or directly defined according to time);

[0077] 4. The impact of lightning is generally divided according to whether there is a forecast of thunderstorms; heavy fog is based on visibility less than 100m.

[0078] The response patterns of the activities to be started when they encounter different degrees of adverse weather conditions can be divided into the following categories:

[0079] The first type of adverse weather includes moderate rain or above, temperature above 28°C, daily average temperature below -20°C, wind speed of level 5 or above, lightning or heavy fog, etc. The corresponding response mode is prohibited;

[0080] The second type of adverse weather refers to the situation in the low temperature season when the daily average temperature is -20℃ or above, and the corresponding response mode is thin layer opening.

[0081] Furthermore, according to the response patterns of the ongoing activities in Table 1 to different degrees of adverse weather, the adverse weather affecting the ongoing activities can be divided into the following categories:

[0082] The third type of adverse weather includes heavy rain or above, wind speed exceeding level 6, lightning or heavy fog, etc., and the corresponding response mode is interruption;

[0083] The fourth type of adverse weather includes moderate and heavy rain, wind speed of 5 to 6, and low temperature periods with average daily temperature exceeding -20℃ in the low temperature season. The corresponding response mode is continue with instructions.

[0084] Step 2) In the high arch dam construction simulation model, whenever the next bin or the next slab layer is to be poured, the pouring time of the next bin or the next slab layer is calculated to form a forecast period, and the weather forecast data within the corresponding forecast period is checked using the message mechanism to analyze the adverse weather impact during the forecast period.

[0085] In step 2), the pouring duration of the next bin or the next slab layer is calculated as the forecast period, wherein the forecast period of the next slab layer is calculated as follows:

[0086] T 下一坯层 = Sht / q (1)

[0087] In the formula, S is the area of ​​the casting bin; h is the thickness of the billet layer; q is the capacity of the cable crane tank; and t represents the casting efficiency of the cable crane, that is, the time required to complete a casting cycle.

[0088] Similarly, the calculation formula for the forecast period of the next pouring bin is:

[0089] T 浇筑仓 =nSht / q (2)

[0090] Where n is the number of billet layers in the casting bin, and the meanings of other symbols are the same as those in formula (1).

[0091] Furthermore, the message mechanism described in step 2) is used to view the weather forecast data in the corresponding forecast period to analyze the impact of adverse weather. The specific analysis method is described in two cases: the planned opening and pouring and the pouring in progress:

[0092] Take the example of pouring activities affected by strong winds. Figure 2 The figure shows that the casting bin uses 3 cable cranes to cast the casting in strips at the same time. Among them, the casting time of cable crane 3 is the longest, t 1 T calculated at the time of opening a position 浇筑仓 =T 3#缆机 , can be calculated using the above formula (2); during the pouring process, t 2 T is the time to calculate the pouring time of the second layer. 2坯层 , which can be calculated using the above formula (1); the period of strong wind weather in the weather forecast is T 大风开始 ~T 大风结束 .

[0093] Planned opening time t 1 , the next casting bin forecast period is calculated as T 浇筑仓 , then the next pouring bin pouring end time is t 1 +T 浇筑仓 , and compare it with the current predicted start time of strong wind impact T 大风开始 Compare. 1 +T 浇筑仓 No later than T 大风开始 , indicating that the next warehouse pouring is not affected by the predicted strong wind weather, and the warehouse opening plan is not affected. The dam block to be opened can be selected to enter the pouring stage; otherwise, the warehouse opening plan is affected and the dam block to be opened needs to be reselected. Figure 2 In the case of 1 After analyzing the adverse weather impact during the forecast period, it is found that the planned opening activities will be affected by strong winds. Therefore, the opening plan needs to be adjusted and delayed until the weather impact is over before re-judging and opening.

[0094] During the pouring process, the pouring of the first layer is completed and the pouring of the second layer begins. 2 At this moment, the forecast period of the next layer is calculated as T 2坯层 In addition, consider the time T for emergency closing in advance in case of adverse weather. 收仓Similarly, the pouring of the second layer is completed and the emergency closing is completed. 2 +T 浇筑仓 +T 收仓 The starting time of strong wind impact T 大风开始 Compare. 2 +T 浇筑仓 +T 收仓 No later than T 大风开始 , the pouring time of the next slab 2 does not overlap with the weather, indicating that strong winds will not affect the pouring of the next slab 2 and can continue pouring; on the contrary, if the two overlap in time, it means that strong winds will affect the pouring of the next slab 2 concrete, and the pouring activity should be interrupted and the warehouse should be closed urgently. Figure 2 In the case of 2 After analyzing the adverse weather conditions during the forecast period, it is determined that the pouring of the next slab layer 2 will be affected by strong winds and therefore needs to be closed urgently.

[0095] Step 3) Based on the analysis results and response mode of adverse weather impacts in the forecast period, an ex ante response mechanism is adopted for construction activities that are planned to start (such as the planned opening of a new warehouse), and an in-process response mechanism is adopted for ongoing construction activities (such as pouring), thereby forming a dual response mechanism of ex ante and in-process taking into account the variability of the weather.

[0096] Furthermore, the prior response mechanism for the construction activities to be started described in step 3) is used to explain in detail the planned warehouse opening activities (see the specific flow chart for details). Figure 3 ):

[0097] Before opening a new position (blox), calculate the forecast period for opening the position through step 2), and analyze the impact of adverse weather during the forecast period in combination with weather forecast data.

[0098] If the opening is not affected by the weather during the forecast period, the original opening plan will be continued, the proposed opening casting block will be transferred to the casting state, and the subsequent casting construction simulation will be carried out.

[0099] If there is adverse weather impact during the forecast period of opening, the type and degree of adverse weather need to be further investigated according to the response mode. If it is the first type of adverse weather in Table 1, the opening time of the planned opening dam block needs to be postponed until the adverse weather impact ends T 影响结束 After that, adjust the original opening plan and reselect the blocks to be opened. If it is the second type of unfavorable weather in Table 1, first, find the number of days affected by low temperature from the weather forecast data. Since the daily temperature changes in the low temperature season have obvious regular characteristics and the temperature changes slowly over time, we can further find the non-low temperature period T from the number of days affected by low temperature. 非低温开始 ~T 非低温结束, divide the original open-bin pouring block into thin-layer bins (for example: the original pouring bin height is 3.0m, which can be divided into two thin-layer bins of 2×1.5m; the original pouring bin height is 4.5m, which can be divided into three thin-layer bins of 3×1.5m), and calculate the pouring duration T of the first thin-layer bin blox-1 , compare it with the non-low temperature period. If the thin layer pouring time does not exceed the non-low temperature period, the thin layer can be opened, and the original planned opening can be layered to select the first thin layer bin to be converted to the pouring state, and adjust the interval period of the thin layer bin (under normal circumstances, the interval period of the ordinary bin is 12 days. Since the thin layer bin "sets up the mold once and pours multiple times", the interval period of the thin layer bin can save the mold setting time and can be shortened to 9 days. Therefore, except for the top thin layer bin which maintains the original 12-day interval, the interval period of the remaining thin layer bins is shortened to 9 days).

[0100] Furthermore, after the proposed activity has gone through the above-mentioned ex ante control response mechanism, whether it continues as planned, adjusts the plan after a delay, or maintains the original plan with modifications, a decision on the proposed activity will eventually be made.

[0101] Furthermore, the in-progress response mechanism for the ongoing construction activities described in step 3) is used to explain in detail the ongoing pouring activities (see the specific process for details). Figure 4 ).

[0102] When the silo that is being poured is about to enter the next slab layer (j+1 layer) for pouring, the forecast period of the next slab layer is calculated through step 2), and the adverse meteorological impact analysis during the forecast period is also performed based on the weather forecast.

[0103] If the continuous pouring (next slab layer) is not affected by the weather during the foreseeable period, the pouring of the next slab layer will continue, and the simulation clock will be advanced according to the calculated pouring time of the next slab layer.

[0104] If affected by the weather, the type and degree of adverse meteorological factors need to be further investigated according to the response mode. If it is the third type of adverse weather in Table 1, the pouring activities need to be interrupted and the warehouse needs to be closed urgently. Then, the impact time of the adverse weather is further investigated. If it does not exceed the initial setting time of the concrete, it means that the impact time of the adverse weather is short, and the pouring of the j+1 layer can be continued after the impact. Therefore, according to T 影响结束 +T j+1坯层 Advance the simulation clock; if it exceeds the initial setting time of concrete, it means that the interruption time caused by the adverse weather is too long, and the concrete poured before the adverse weather has already initially set. Before continuing to pour the j+1 layer of concrete, surface treatments such as roughening and grouting are required. Therefore, the simulation clock for completing the pouring of the j+1 layer after the impact has passed needs to be advanced to T 影响结束 +T 表面处理 +T j+1坯层If it is a 5-6 gale in the fourth type of adverse weather in Table 1, the pouring of the j+1 layer will continue, but the pouring efficiency will be affected and the pouring time after the efficiency reduction (1+α)T will be required. j+1坯层 Advance the simulation clock, where α represents the cable crane efficiency reduction coefficient. If it is moderate to heavy rain, high temperature or low temperature in the fourth type of adverse weather in Table 1, the pouring of the next layer can continue, but in order to ensure the pouring quality of concrete under rain, high temperature or low temperature environment, the system needs to issue rain shelter, cooling or insulation (heat storage method and comprehensive heat storage method) construction instructions, and the simulation clock is T j+1坯层 Advance.

[0105] Furthermore, after the ongoing activity has gone through the above-mentioned in-process response mechanism, no matter the result is to continue, or to continue with instructions, or to interrupt first and then continue, a plan for continuing the ongoing activity will eventually be formulated.

[0106] Step 4) Integrate the message mechanism in the above step 2) and the dual response mechanism in step 3) into the high arch dam construction simulation model developed based on the discrete event system principle, forming a high arch dam construction simulation system based on the adverse weather dynamic response mechanism, thereby improving the simulation accuracy of the adverse weather effects.

[0107] Further, the high arch dam construction simulation model incorporating the message mechanism and dynamic response mechanism described in step 4) has a specific simulation process as follows (see Figure 5 ):

[0108] S1) obtains the actual pouring progress of the construction site (including the current dam body pouring appearance, the interval time of the poured dam blocks, the grouting progress and other information), and performs column information initialization (corresponding to the dam body appearance information), dam body information initialization (corresponding to the dam body pouring time, interval time, etc.) and grouting information initialization (corresponding to the grouting progress information) of the dynamic simulation system.

[0109] S2) setting the simulation clock to the current time, scanning whether there is a pourable bin that meets various constraints, if so, taking it as a new bin block to be opened; if not, waiting for a pourable bin that meets various constraints;

[0110] S3) At this time, the forecast period for the planned warehouse opening is calculated, and the adverse weather within the forecast period is obtained from the weather forecast data through the message mechanism. According to the analysis results of the adverse weather impact in the forecast period, it is determined whether to trigger the pre-control response mechanism. Then, a decision on the planned warehouse opening activity is made according to the response results until a warehouse position that can be converted to the pouring state is found.

[0111] S4) Select the mechanical configuration and billet layer pouring time predicted in S3) to execute the pouring of the first billet layer and advance the simulation clock.

[0112] S5) Before entering the next slab layer casting, the forecast period for continued casting (next slab layer) is also calculated. Through the message mechanism, the adverse meteorological factors within the forecast period are obtained from the weather forecast data. According to the analysis results of the adverse meteorological impact in the forecast period, it is determined whether to trigger the in-process adjustment response mechanism, thereby determining the promotion method of the next slab layer casting.

[0113] S6) When each layer is completed and the next layer is entered, the above S5) is executed until the last layer is cast.

[0114] S7) Then, determine whether the casting bin is the last bin. If not, re-obtain the actual casting progress according to the above process, and reselect the bin to be opened until the last bin is cast. If yes, it means that the dam is cast and the simulation ends.

[0115] The specific implementation scheme of the high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism according to the present invention is described in detail below with reference to the accompanying drawings.

[0116] Embodiment 1:

[0117] Based on the historical data of the pouring of a built arch dam, the following simulates various adverse weather conditions in the construction simulation calculation, and explains the specific implementation method of the dynamic response mechanism of the present invention step by step. The original pouring schedule and the pouring simulation results after the dynamic response adjustment are shown in the figure. Figure 6 The original pouring schedule of the four pouring bins calculated by simulation is shown in Table 2, and the pouring schedule calculated by simulation of the dynamic response mechanism of adverse weather is shown in Table 3.

[0118] Table 2 Original pouring schedule of the pouring bin calculated by simulation

[0119]

[0120] Table 3. Casting schedule of casting bin based on simulation calculation

[0121]

[0122] Get the current real-time pouring progress and initialize the simulation system parameters. Set the start time of this simulation to 0:00:00 on March 1, 2020. The pouring bins and irrigation areas that have been completed before this are used as initial conditions to initialize the simulation system. At the same time, set the earliest opening time of the four bins calculated by simulation according to the start time of the original pouring progress. For example, the original pouring time of bin 18#-068 is 2020 / 3 / 1 6:25:04~2020 / 3 / 2 15:54:51. The earliest opening time of the pouring bin is set to 2020 / 3 / 1 6:25:04, which means that the preparation work of bin 18#-068 is completed after this time, and the conditions for opening the bin are met.

[0123] The simulated weather forecast data specifically simulates heavy rain, 7-force gale, high cold and the above adverse weather conditions occurring simultaneously. The simulated adverse weather conditions are detailed in Table 4 below, which describes the start and end time of the adverse weather conditions and Figure 6 The corresponding relationship.

[0124] Table 4 Example 1 Simulated adverse weather effects

[0125]

[0126] When the system simulation clock advances to the original planned opening time of 18#-068 warehouse 2020 / 3 / 1 6:25:04, the forecast period of the casting warehouse is calculated to be 2009.78 minutes. Through the message mechanism, the weather forecast data within the forecast period is obtained. After analyzing the adverse weather impact, it is found that the forecast period will be affected by t 1 ~t 2 Therefore, the pre-response mechanism is triggered, and the planned opening time of warehouse 18#-068 is postponed to t 2 Then, advance the system simulation clock to t 2 , reselected 18#-068 warehouse for forecast period calculation and forecast period adverse weather impact analysis, and found that it was not affected by adverse weather. Therefore, it was converted to casting state and simulated according to the subsequent billet layer calculation process.

[0127] When the system simulation clock advances to the original planned opening time of 23#-070 warehouse 2020 / 3 / 2 17:20:31, since 18#-068 warehouse occupies the 5# cable car and there is no other idle cable car available for use, the planned opening time is postponed to 18#-068 warehouse pouring completion time 2020 / 3 / 2 23:29:47. When the system simulation clock advances to 18#-068 warehouse pouring completion time 2020 / 3 / 2 23:29:47, 23#-070 warehouse has the conditions for opening, and the cable car configuration meets the requirements. The forecast period of the pouring warehouse is calculated to be 1386.23min. Through the message mechanism, the weather forecast data within the forecast period is obtained. After analysis of adverse weather impacts, it is found that it will be affected by t 4 ~t 6 The 7-force gale and t 3 ~t 8 Therefore, the pre-response mechanism is triggered to divide the 23#-070 bin into two thin-layer bins, 23#-070-1 and 23#-070-2. The pouring time of the first thin-layer bin 23#-070-1 is calculated to be 693.12 minutes, which can be completed at the beginning of the high cold period t 3Therefore, the thin layer bin 23#-070-1 is selected to switch to the pouring state, and the interlayer interval of the thin layer bin 23#-070-1 is set to 9 days, and the simulation is carried out according to the subsequent blank layer calculation process.

[0128] When the system simulation clock advances to the original planned opening time of 10#-052 warehouse 2020 / 3 / 3 10:41:29, the forecast period of the casting warehouse is calculated to be 1369.28 minutes. Through the message mechanism, the weather forecast data within the forecast period is obtained. After the analysis of the adverse weather impact, it is found that it will be affected by t 4 ~t 6 7-force gale during the time period, t 5 ~t 7 Heavy rain during the period and t 3 ~t 8 The high and cold weather during this period of time had a common impact. Therefore, the pre-response mechanism was triggered, and the 10#-052 warehouse was divided into two thin-layer warehouses, 10#-052-1 and 10#-052-2. The pouring time of the first thin-layer warehouse 10#-052-1 was calculated to be 684.64 minutes, which was still affected by the high and cold weather and strong winds. Therefore, the non-low temperature period before the high and cold weather was abandoned, and the planned warehouse opening time was pushed forward to t after the strong wind, heavy rain and high and cold weather ended. 8 Then, advance the system simulation clock to this moment and repeat the process in step 5 above. 8 Start with Gao Han 9 During the non-low temperature period, the first thin layer bin 10#-052-1 of 10#-052 is selected to switch to the pouring state, and the simulation is carried out according to the subsequent billet layer calculation process.

[0129] Embodiment 2:

[0130] Next, we further select the two warehouses 18#-068 and 27#-046 in the above embodiment 1, and simulate the change of adverse weather by dynamically entering weather data, so that they will encounter the impact of adverse weather after opening the warehouse, so as to explain in detail the in-process response of the dynamic response mechanism. The original pouring schedule of the pouring warehouses 18#-068 and 27#-046 (see Table 2 above) and the pouring schedule after the dynamic response mechanism simulation calculation are shown in Table 2. Figure 7 The pouring progress (by slab layer) calculated by the simulation of the adverse weather dynamic response mechanism is shown in Table 5 below. The simulated adverse weather is shown in Table 6 below.

[0131] Table 5: Casting schedule of the casting bin based on simulation calculation (by layer)

[0132]

[0133] Table 6 Example 2 Simulated adverse weather effects

[0134]

[0135] The simulation system is initialized as in Example 1, and the heavy rain weather in Table 6 is input first. When the system simulation clock advances to the original planned opening time of 18#-068 warehouse 2020 / 3 / 1 6:25:04, the forecast period of the casting warehouse is calculated to be 2009.78 minutes. The weather forecast data within the forecast period is obtained through the message mechanism. After analysis of the adverse weather impact, it is found that the weather will be affected by t 1 ~t 2 Therefore, the pre-response mechanism is triggered, and the planned opening time of warehouse 18#-068 is postponed to t 2 Then, advance the system simulation clock to t 2 , reselect 18#-068 warehouse for forecast period calculation and forecast period adverse weather impact analysis, and find that it is not affected by adverse weather, so it is converted to casting state. Calculate the casting time of the first billet layer, 334.96min, as the forecast period for the next billet layer, perform adverse weather impact analysis, and find that it is not affected by adverse weather, so advance the simulation clock according to the calculated casting time of the first billet layer. When the system simulation clock advances to the original planned opening time of 27#-046 warehouse 2020 / 3 / 1 15:05:09, calculate the forecast period for the planned opening and perform adverse weather impact analysis according to the above process, and find that it is not affected by adverse weather, and can open the warehouse and cast according to the original plan. Then, the casting time of the first billet layer is also calculated, and as the forecast period, the adverse weather impact analysis of the forecast period for the next billet layer is performed, and it is found that it is also not affected by adverse weather, and the simulation clock is advanced according to the calculated billet casting time.

[0136] After the 27#-046 warehouse is opened and enters the pouring state, other adverse weather conditions in the above Table 6 are input to simulate the impact of adverse weather conditions after the warehouse is opened and poured due to weather changes.

[0137] When the simulation clock advances to the point where the first layer of 27#-046 warehouse is finished pouring, before continuing the second layer of pouring, the forecast period for pouring the next layer of slab is calculated. The weather forecast data within the forecast period is obtained through the message mechanism. After analyzing the impact of adverse weather, it is found that continuing the pouring of the next layer of slab will be affected by t 3 ~t 4 The 7-force gale during the time period triggered the in-progress response mechanism and temporarily interrupted the pouring of the second layer. Further calculation of the duration of the 7-force gale showed that it was less than the initial setting time of concrete. Therefore, the pouring of the second layer could be continued directly after the 7-force gale passed, and the simulation clock continued to advance. When the 18#-068 warehouse continued to pour the second layer, it was also affected by the 7-force gale. The simulation clock was advanced according to the same in-progress response process as above.

[0138] When the simulation clock advances to the point where the second layer of 18#-068 warehouse is finished pouring, before continuing the third layer of pouring, the forecast period for pouring the third layer is calculated. The weather forecast data for the forecast period is obtained through the message mechanism. After analyzing the impact of adverse weather, it is found that continuing the pouring of the third layer will be affected by t 5 ~t 6 The fog affects the time period. The in-progress response mechanism is triggered, and the pouring of the third layer is temporarily interrupted. Further calculation of the duration of the fog influence shows that it is longer than the initial setting time of the concrete. Therefore, after the fog influence is over, surface treatment must be performed before the pouring of the third layer can be continued. The simulation clock first advances to the end time t of the fog influence 6 , add 1h of surface treatment time, then continue pouring the third layer, and continue to advance the simulation clock. When the 27#-046 warehouse continued pouring the fourth layer, it was also affected by the fog, and the simulation clock was advanced according to the same in-process response process mentioned above.

[0139] When the simulation clock advances to the point where the fourth layer of 27#-046 warehouse has been poured, and before continuing to pour the fifth layer, the forecast period for pouring the fifth layer is calculated. The weather forecast data for the forecast period is obtained through the message mechanism. After analyzing the impact of adverse weather, it is found that continuing to pour the fifth layer will be affected by t 7 ~t 8 The 6-level gale during the time period triggered the in-process response mechanism, issued a warning of the impact of the gale, and continued the pouring of the fifth slab layer according to the reduced efficiency of the cable crane. The pouring time of the fifth slab layer after the efficiency reduction was 368.46 minutes, which was 33.50 minutes longer than the pouring time not affected by the gale. The simulation clock was advanced according to the pouring time. When the 18#-068 warehouse continued to pour the fourth slab layer, it was also affected by the 7-level gale. According to the same in-process response process mentioned above, the simulation clock was advanced.

[0140] When the simulation clock advances to the point where the fourth layer of 18#-068 warehouse has been poured, and before the fifth layer is poured, the forecast period for pouring the fifth layer is calculated. The weather forecast data for the forecast period is obtained through the message mechanism. After analyzing the impact of adverse weather, it is found that continuing to pour the fifth layer will be affected by t 9 ~t 10 The high cold weather during the period triggered the in-progress response mechanism, issued a low temperature construction warning, continued to pour the fifth slab layer, and continued to advance the simulation clock according to the calculated pouring time of the fifth slab layer. When the simulation clock was advanced to the point where the fifth slab layer of warehouse 18#-068 was poured and before the sixth slab layer was poured, the above-mentioned in-progress response process was used to issue a low temperature construction warning and continue to advance the simulation clock.

Claims

1. A high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism, characterized by: The high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism comprises the following steps: Step 1) establishing a response model consistent with the actual high arch dam construction in response to adverse meteorological conditions affecting the high arch dam construction; Step 2) in the high arch dam construction simulation model, calculating the forecast period of the next casting bin or the forecast period of the next slab layer, analyzing the impact of adverse weather during the forecast period, and obtaining the analysis result of the impact of adverse weather during the forecast period; Step 3) Based on the analysis results of adverse weather impacts during the forecast period obtained in step 2) and the response model established in step 1), a pre-emptive response mechanism is adopted for the construction activities to be started, and an in-process response mechanism is adopted for the ongoing construction activities; Step 4) Integrate the methods of step 2) and step 3) into the high arch dam construction simulation model developed based on the discrete event system principle to complete the modeling optimization of the high arch dam construction simulation model based on the adverse weather dynamic response mechanism; The calculation method of the forecast period of the next layer in step 2) is: T 下一坯层 =Shtq in: T 下一坯层 is the forecast period of the next layer to be calculated. If the current layer is j, the forecast period of the next layer j+1 is T j+1坯层 ; S is the area of ​​the casting bin; h is the thickness of the blank; q is the capacity of the cable crane tank; t represents the cable crane pouring efficiency, that is, the time required to complete a pouring cycle; The calculation method of the forecast period of the next pouring bin is: T 浇筑仓 =nShtq in: n is the number of billet layers in the casting bin; S is the area of ​​the casting bin; h is the thickness of the blank; q is the capacity of the cable crane tank; t represents the cable crane pouring efficiency, that is, the time required to complete a pouring cycle; In the step 2), the specific implementation method of analyzing the adverse weather impact during the forecast period and obtaining the analysis result of the adverse weather impact during the forecast period is: For the planned opening of the warehouse for pouring, the planned opening time is t1, and the predicted period of the next pouring warehouse is T 浇筑仓 , then the next pouring bin pouring end time is t1+T 浇筑仓 , and compare it with the currently predicted start time of adverse weather T 不利天气开始 Contrast; if t1+T 浇筑仓 No later than T 不利天气开始 , then the next warehouse pouring is not affected by the predicted adverse weather, and the warehouse opening plan is not affected, then the proposed warehouse opening dam block is selected to enter the pouring state; if t1+T 浇筑仓 Later than T 不利天气开始 , then the next dam pouring will be affected by the predicted adverse weather, the dam opening plan will be affected, and the dam block to be opened needs to be reselected; For the pouring process, when the current layer j concrete pouring is completed and the next layer j+1 concrete pouring is started at time t2, the forecast period for the next layer is calculated as T j+1坯层 In addition, consider the time T for emergency closing in advance in case of adverse weather. 收仓 ; Similarly, the next layer of casting is completed and the emergency closing is completed at the end time t2+T j+1坯层 +T 收仓 The start time of adverse weather impact T 不利天气开始 Contrast; if t2+T j+1坯层 +T 收仓 No later than T 不利天气开始 , the pouring time of the next layer of concrete does not overlap with the weather, and adverse weather does not affect the pouring of the next layer of concrete, so pouring continues; conversely, if the two overlap in time, adverse weather will affect the pouring of the next layer of concrete, and the pouring activity should be interrupted and the warehouse should be closed urgently.

2. The high arch dam simulation modeling optimization method based on the adverse weather dynamic response mechanism according to claim 1 is characterized by: The unfavorable meteorological conditions affecting the construction of the high arch dam in step 1) include rainfall, high temperature, low temperature, strong wind, heavy fog and lightning; The response model established in step 1) for the adverse meteorological conditions affecting the construction of high arch dams and consistent with the actual high arch dam construction is: For the planned warehouse preparation activities, if moderate rain or above, daily average temperature below 5℃, heavy fog or thunder and lightning occur, the corresponding high arch dam construction response mode is prohibited; the corresponding high arch dam construction response mode for other weather conditions is to continue; For the ongoing storage preparation activities, when encountering heavy rain or above, daily average temperature below -20℃, heavy fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibited; the corresponding high arch dam construction response mode for other weather conditions is to continue; For the planned pouring activities, if moderate rain or above, temperature exceeds 28℃, daily average temperature is below -20℃, wind speed is level 6 or above, fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibition; if the daily average temperature is -20℃ or above in the low temperature season, the corresponding response mode is thin layer opening; the corresponding high arch dam construction response mode for other weather conditions is to continue; For the ongoing pouring activities, when encountering heavy rain or above, the daily average temperature is below -20℃, the wind speed exceeds level 6, heavy fog or thunder and lightning, the corresponding high arch dam construction response mode is prohibition; when encountering moderate to heavy rain, the daily average temperature exceeds -20℃ in the low temperature season, and the wind speed is between level 5 and 6, the corresponding response mode is continue with instructions; in addition to these weather conditions, the corresponding high arch dam construction response mode is continue.

3. The high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism according to claim 2 is characterized by: The moderate rain and heavy rain are divided according to the hourly rainfall; the rainfall of the moderate rain is 3-10 mm / h; the rainfall of the heavy rain is more than 10 mm / h; the high temperature is the period when the hourly temperature exceeds 28°C; the low temperature is the period when the hourly temperature is lower than 3°C; the wind speed is divided according to the hourly average wind speed; the hourly wind speed of level 5 is 29-49 km / h; the hourly wind speed of level 6 is more than 49 km / h; the visibility of the heavy fog is less than 100m; the thunder and lightning is the thunder and lightning weather predicted by the meteorological department.

4. The high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism according to claim 1 is characterized by: The specific implementation method of adopting the prior response mechanism for the construction activities to be started in step 3) is: Step 3.a.1) Obtain the analysis results of adverse weather impact during the forecast period in step 2); Step 3.a.2) Determine whether the construction activity to be started is affected by adverse weather. If not, continue the construction activity to be started; if affected by adverse weather, proceed to step 3.a.3); Step 3.a.3) Confirm the type and degree of adverse weather according to the response mode established in step 1). If the response mode of high arch dam construction triggered by the type and degree of adverse weather is prohibition, the construction activities to be started will be postponed until the adverse weather impact ends. 影响结束 Then turn it on again; If the response mode of high arch dam construction triggered by the type and degree of adverse weather is thin layer opening, find the number of days affected by low temperature from the weather forecast data, and find the non-low temperature period T from the number of days affected by low temperature 非低温开始 ~T 非低温结束 , divide the construction activities originally planned to start into thin layer bins, and calculate the pouring duration T of the first thin layer bin blox-1 , the pouring duration of the first thin layer bin is T blox-1 T 非低温结束 -T 非低温开始 In contrast, if the thin layer pouring time does not exceed the non-low temperature period, the planned construction activities will continue to be completed in the manner of thin layer opening, and the intermittent period of the thin layer warehouse will be adjusted; if the thin layer pouring time exceeds the non-low temperature period, the non-low temperature period will be abandoned and the planned construction activities will be postponed until the low temperature impact ends.

5. The high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism according to claim 4 is characterized in that: The specific implementation method of adopting the in-progress response mechanism for the ongoing construction activities in step 3) is: Step 3.b.1) After the current slab casting activity is completed and before the next slab casting construction is started, the in-process response mechanism is implemented; Step 3.b.2) Determine whether the pouring of the next slab layer is affected by adverse weather. If not, continue pouring the next slab layer and calculate the pouring time T of the next slab layer. 坯层 and advance the simulation clock; if affected by adverse weather, proceed to step 3.b.3); Step 3.b.3) Confirm the type and degree of adverse weather according to the response mode established in step 1). If the response mode of high arch dam construction triggered by the type and degree of adverse weather is interruption, then while interrupting the pouring of the next slab layer, further determine the duration of the adverse weather impact. If the duration of the adverse weather impact does not exceed the initial setting time of concrete, continue pouring the next slab layer after the adverse weather impact, and press T 影响结束 +T j+1坯层 Advance the simulation clock; if the adverse weather conditions last longer than the initial setting time of the concrete, the surface of the initial setting concrete should be treated before pouring the next layer, and the T 影响结束 +T 表面处理 +T j+1坯层 Advance the simulation clock; If the response mode of high arch dam construction triggered by the type and degree of adverse weather is to continue with instructions, the adverse weather is further confirmed. If it is a strong wind of level 5 to 6, the next layer of slab pouring will continue, and the pouring time after the reduction is (1+α)T j+1坯层 Advance the simulation clock, where α represents the cable crane efficiency reduction coefficient; when it is further confirmed that the adverse weather is only moderate to heavy rain, high temperature or low temperature with a daily average temperature exceeding -20℃, continue the next construction activity with the construction instructions attached, and the simulation clock presses T j+1坯层 Advance; the construction instruction is a rain shelter construction instruction, a cooling construction instruction or a thermal insulation construction instruction.

6. The high arch dam simulation modeling optimization method based on adverse weather dynamic response mechanism according to claim 5 is characterized by: The surface treatment method is roughening and / or slurrying.

7. A high arch dam construction simulation model based on the dynamic response mechanism of adverse weather, characterized by: The high arch dam construction simulation model based on the adverse weather dynamic response mechanism is obtained by optimizing the traditional high arch dam simulation modeling based on the adverse weather dynamic response mechanism as described in claim 6.

8. A simulation method, characterized in that: The simulation method is based on the high arch dam construction simulation model based on the adverse weather dynamic response mechanism as claimed in claim 7, and the simulation method comprises the following steps: S1) obtaining the actual pouring progress of the construction site, and initializing the column information, dam body information and grouting information of the dynamic simulation system according to the actual pouring progress of the construction site; S2) setting the simulation clock to the current time, scanning whether there is a pourable bin that meets various constraints, if so, taking it as a new bin block to be opened; if not, waiting for a pourable bin that meets various constraints; S3) Calculate the forecast period for the proposed warehouse opening, obtain the adverse weather in the forecast period from the weather forecast data, determine whether to trigger the pre-control response mechanism based on the analysis results of the adverse weather impact in the forecast period, and make a decision on the proposed warehouse opening activity based on the response results until a warehouse position that can be converted to a pouring state is found; S4) selecting the mechanical configuration and billet layer pouring time predicted in S3) to perform pouring of the first billet layer, and advancing the simulation clock; S5) Before the next slab layer is poured, the forecast period for continued pouring is similarly calculated, and the adverse weather factors within the forecast period are obtained from the weather forecast data. According to the analysis results of the adverse weather impact during the forecast period, it is determined whether to trigger the in-process adjustment response mechanism, and the promotion method of the next slab layer pouring is determined; S6) when each layer is completed and the next layer is entered, S5) is repeatedly executed until the casting of the last layer is completed; S7) determines whether the casting bin is the last bin. If not, repeat S1) to S6) until the last bin is cast and the simulation ends; if yes, the simulation ends directly.

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