Floor slab allocation device, floor slab allocation method, and program
The slab allocation device optimizes precast deck layout by using section-based parameters and genetic algorithms to balance precast shapes and cast-in-place concrete, addressing cost inefficiencies in bridge deck renewal.
Patent Information
- Application Number
- JP2024011068
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-01-29
- Publication Date
- 2025-08-08
AI Technical Summary
The layout of precast decks during bridge deck renewal affects cost due to variations in the number of precast shapes and the amount of cast-in-place concrete, which existing methods fail to efficiently account for.
A slab allocation device that divides a bridge into sections and determines slab allocation parameters using the number of precast shapes and the quantity of cast-in-place concrete as evaluation indicators, considering parameters such as deck width, angle, and distance ratios, and employs genetic algorithms for optimization.
Enables efficient allocation of precast slabs by optimizing the number of precast shapes and cast-in-place concrete, reducing costs and improving construction efficiency.
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Figure 2025116572000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to a floor slab allocation device, a floor slab allocation method, and a program. [Background technology]
[0002] Construction work is being carried out to renew the decks of existing bridges due to deterioration caused by deck fatigue, salt damage, frost damage, etc. For example, Patent Document 1 discloses a deck renewal method in which, before joining a new deck to the existing steel main girders, the existing main girders are jacked up more than enough to cancel out the deflection caused by the existing main girders themselves, thereby relieving the strain accumulated in the existing main girders and reducing the stress state.
[0003] Furthermore, when updating decks, a construction method is sometimes used in which precast decks manufactured in factories are used to reduce construction time (the period during which roads are closed due to construction). With this construction method, the precast decks must be transported to the site, so there are size restrictions on the precast decks. Therefore, the gaps between the precast decks are filled with cast-in-place concrete. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2018-104970 Summary of the Invention [Problem to be solved by the invention]
[0005] However, when updating a deck using precast decks, the layout of the precast deck affects the cost because the number of precast shapes and the amount of cast-in-place concrete change depending on the layout of the precast deck.
[0006] The present invention has been made in consideration of these circumstances, and provides a slab allocation device, a slab allocation method, and a program that can allocate precast slabs taking into account the number of precast shapes and the amount of cast-in-place concrete. [Means for solving the problem]
[0007] This invention has been made to solve the above-mentioned problems, and one aspect of the present invention is a slab allocation device that includes a bridge division unit that divides a bridge into one or more sections, and a slab allocation determination unit that determines slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators.
[0008] Another aspect of the present invention is the above-mentioned deck allocation device, wherein the parameters are values indicating each of the width of the precast deck, the angle between the precast deck and the representative line of the section, and the ratio of the distance from the precast deck at one end of the section to the adjacent section to the distance from the precast deck at the other end to the other adjacent section, and the representative line is a straight line connecting both ends of the center line of the bridge in the section.
[0009] Another aspect of the present invention is the above-mentioned deck allocation device, wherein the deck allocation determination unit sets the value of the parameter to be the same between the multiple consecutive sections if the curvature of the bridge in the section connecting the multiple consecutive sections is constant.
[0010] Another aspect of the present invention is the above-mentioned slab allocation device, which classifies the precast slabs into a plurality of shape groups based on their shape, and in each shape group, calculates a value representing the quantity of cast-in-place concrete by treating the portion other than that included when the shape of the precast slab to the adjacent precast slab is superimposed with half of the filler section added, as the portion of cast-in-place concrete.
[0011] Another aspect of the present invention is a slab allocation method comprising the steps of dividing a bridge into one or more sections, and determining slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators.
[0012] Another aspect of the present invention is a program for causing a computer to function as a bridge division unit that divides a bridge into one or more sections, and a slab allocation determination unit that determines slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators. [Effects of the Invention]
[0013] According to this invention, precast deck slabs can be allocated taking into account the number of precast shapes and the amount of cast-in-place concrete. [Brief explanation of the drawings]
[0014] [Figure 1] 1 is a schematic block diagram showing the configuration of a floor slab allocation device 10 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a schematic diagram showing an example of floor slab allocation in the same embodiment. [Figure 3] 10A and 10B are explanatory diagrams showing examples of constant curvature sections in the embodiment. [Figure 4] 3 is a schematic block diagram showing an example of the configuration of a floor slab allocation determination unit 14 in the embodiment. FIG. [Figure 5] 10 is a schematic block diagram showing the configuration of a first shape processing unit 144 in the same embodiment. [Figure 6] 10A and 10B are diagrams showing examples of encapsulated portions in the same embodiment. [Figure 7] 4 is a flowchart illustrating an example of the operation of the floor slab allocation device 10 in the embodiment. [Figure 8] 10 is a table showing examples of candidate values for multiple sets of parameters in the embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0015] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a schematic block diagram showing the configuration of a deck allocation device 10 according to one embodiment of the present invention. The deck allocation device 10 allocates precast decks for a bridge based on the alignment of the bridge. The deck allocation device 10 may be realized by one or more computers reading and executing a program.
[0016] The deck allocation device 10 includes a bridge alignment input unit 11, a restriction condition input unit 12, a bridge division unit 13, and a deck allocation determination unit 14. The bridge alignment input unit 11 accepts input of data indicating the alignment of the center line of the bridge. The data indicating the alignment of the center line of the bridge is, for example, the coordinate values of multiple points on the center line. Furthermore, the bridge alignment input unit 11 may accept input of data indicating the width of the bridge to generate data indicating the outline of the bridge, or may accept input of data indicating the outline. Note that these inputs may be received from another device, or may be performed by an operator reading a file that stores the data.
[0017] The limiting condition input unit 12 accepts input of limiting conditions for slab allocation. Limiting conditions include, for example, the maximum width of the precast slabs and the minimum width of the gap between the precast slabs. The maximum width of the precast slabs is the limiting condition because there is a limit to the transportable width. Furthermore, the minimum width of the gap between the precast slabs is the limiting condition because rebar for use in the gap protrudes from the precast slabs to ensure the strength of the gap. These inputs may be received from another device, read from a file that stores values via an operator's operation, or specified by the operator using input means such as a keyboard or mouse.
[0018] The bridge dividing unit 13 divides the bridge into one or more sections. The lengths of the sections do not have to be constant. For example, the bridge dividing unit 13 may treat a section with a straight center line as one section.
[0019] The slab allocation determination unit 14 determines slab allocation parameters for each section divided by the bridge division unit 13, using a value representing the number of precast shapes and a value representing the amount of cast-in-place concrete as evaluation indicators. This allows for the allocation of precast slabs taking into account the number of precast shapes and the amount of cast-in-place concrete. Note that because formwork for precasting must be prepared for each precast shape, the number of precast shapes affects costs. In addition, because precasting is less expensive than pouring concrete on-site, the amount of cast-in-place concrete also affects costs.
[0020] The slab allocation determination unit 14 may also use machine learning techniques such as genetic algorithms and neural networks when determining the parameters. The parameters may also be a value indicating the width of the precast slab, a value indicating the angle between the precast slab and a representative line of the bridge section, or a value indicating the ratio of a first distance from the precast slab at one end of the section to an adjacent section to a second distance from the precast slab at the other end to the other adjacent section. The ratio may be expressed as "first distance / (first distance + second distance)." The representative line of a section is a straight line connecting both ends of the center line of the section. If the curvature of a bridge connecting multiple consecutive sections is constant, the slab allocation determination unit 14 sets the parameter values to be the same across the multiple consecutive sections. The bridge curvature may be the curvature of the center line or the curvature of a circular arc passing through all endpoints of the multiple consecutive sections.
[0021] The slab layout determination unit 14 may determine multiple sets of slab layout parameters, and the user may select from among them. The slab layout determination unit 14 may notify the user of a value indicating the number of precast shapes and a value indicating the quantity of cast-in-place concrete, in association with each set.
[0022] FIG. 2 is a schematic diagram showing an example of deck allocation in this embodiment. In FIG. 2, precast decks PF2 to PF7 are allocated to the section from end point Pa to end point Pb of the bridge's representative line Cl. The left and right sides of decks PF2 to PF6 form the same angle θr with the representative line Cl, and the shapes of decks PF2 to PF6 are parallelograms. The deck slab PF7 at the left end of this section may not form a parallelogram because the angle θl of its left side with the representative line Cl and the angle θr of its right side with the representative line Cl are not necessarily the same. Thus, of the decks allocated to one section, one at one end may not form a parallelogram because the angles θl and θr are parameters, but the remaining decks form parallelograms using the angle θr of the leftmost deck. Note that which end of the section the deck slab that does not form a parallelogram is at may be determined in advance as a rule, for example. Precast slabs PF1 and PF8 are precast slabs in adjacent sections. Precast slabs PF2 to PF7 have width W. A first distance from precast slab PF2 at one end of a section to the adjacent section is distance A. A second distance from precast slab PF7 at the other end to the adjacent section is distance B. The portion between precast slabs PF1 to PF8 is a filler section.
[0023] FIG. 3 is an explanatory diagram showing an example of a constant curvature section in this embodiment. The constant curvature section P consists of four consecutive sections from representative lines Cl1 to Cl4, and the curvature of the center line C is constant. The floor slab allocation parameters are set to the same values in these four sections. That is, the width W of the floor slab in the section of representative line Cl1, the angles θl and θr between the floor slab and the representative line, and the ratio between the first distance and the second distance are also used in the representative lines Cl2, Cl3, and Cl4. As a result, the floor slab allocation is the same in the four sections from representative lines Cl1 to Cl4.
[0024] Fig. 4 is a schematic block diagram showing an example of the configuration of the slab allocation determination unit 14 in this embodiment. Fig. 4 shows an example of the configuration when the slab allocation determination unit 14 uses a genetic algorithm when determining parameters. In Fig. 4, the slab allocation determination unit 14 includes a parameter candidate determination unit 141, a slab allocation unit 142, a slab classification unit 143, a first shape processing unit 144, a second shape processing unit 145, a third shape processing unit 146, a precast shape number summation unit 147, a cast-in-place quantity summation unit 148, and a parameter candidate selection unit 149.
[0025] The parameter candidate determination unit 141 determines multiple sets of candidate values for parameters for each section determined by the bridge division unit 13 as genes in a genetic algorithm. In this determination, crossover, mutation, etc. in the genetic algorithm are performed using multiple sets of candidate values for parameters selected by the parameter candidate selection unit 149. The candidate values for parameters are determined so as to satisfy the restriction conditions received by the restriction condition input unit 12. The initial candidate values for parameters may be random values that satisfy the restriction conditions.
[0026] The slab allocation unit 142 allocates precast slabs as shown in Fig. 2 for each set of parameter candidate values determined by the parameter candidate determination unit 141, and determines the shape of each precast slab. The precast slabs may be allocated so as to include the outline of the bridge. For example, the outer edge of the precast slab may be in contact with the outline of the outer side of the curve, and each vertex of the inner edge of the precast slab may be located on the outline of the inner side of the curve.
[0027] For each set of parameter candidate values, the deck classification unit 143 classifies the precast decks into multiple shape groups according to their shapes. The multiple shape groups are, for example, right-shoulder-up parallelograms, left-shoulder-up parallelograms, and three other shape groups (hereinafter referred to as the first shape group, the second shape group, and the third shape group).
[0028] The first shape processing unit 144 calculates a value indicating the number of precast shapes in the first shape group and a value indicating the quantity of cast-in-place concrete for each set of parameter candidate values. The second shape processing unit 145 calculates a value indicating the number of precast shapes in the second shape group and a value indicating the quantity of cast-in-place concrete for each set of parameter candidate values. The third shape processing unit 146 calculates a value indicating the number of precast shapes in the third shape group and a value indicating the quantity of cast-in-place concrete for each set of parameter candidate values. Details of the first shape processing unit 144, the second shape processing unit 145, and the third shape processing unit 146 will be described later.
[0029] The precast shape number summing unit 147 sums up the values indicating the number of precast shapes calculated by the first shape processing unit 144, the second shape processing unit 145, and the third shape processing unit 146 for each set of parameter candidate values. The cast-in-place quantity summing unit 148 sums up the values indicating the quantity of cast-in-place concrete calculated by the first shape processing unit 144, the second shape processing unit 145, and the third shape processing unit 146 for each set of candidate parameter values.
[0030] The parameter candidate selection unit 149 selects a set of parameter candidate values based on the value indicating the number of precast shapes added up by the precast shape number addition unit 147 and the value indicating the quantity of cast-in-place concrete added up by the cast-in-place quantity addition unit 148. This selection corresponds to selecting highly fit individuals in a genetic algorithm. For example, the parameter candidate selection unit 149 selects a set of parameter candidate values such that a predetermined number of values indicating the number of precast shapes added up by the precast shape number addition unit 147 or the quantity of cast-in-place concrete added up by the cast-in-place quantity addition unit 148 are excluded from the set of parameter candidate values.
[0031] In addition, when the processing from the parameter candidate determination unit 141 to the parameter candidate selection unit 149 is repeated a predetermined number of times, the parameter candidate selection unit 149 outputs a set of candidate values for the selected parameters as parameters for the determined deck layout.
[0032] FIG. 5 is a schematic block diagram showing the configuration of the first shape processing unit 144 in this embodiment. The second shape processing unit 145 and the third shape processing unit 146 have similar configurations, except for the shape group they process. The first shape processing unit 144 includes a contained area calculation unit 41, a shape number counting unit 42, and a cast-in-place quantity calculation unit 43. For each set of parameter candidate values, the contained area calculation unit 41 calculates the area of the contained portion when all shapes of precast deck slabs of the first shape group are stacked. Each shape of the precast deck slab may include half of the space between adjacent precast deck slabs. FIG. 5 is a diagram showing an example of the contained portion in this embodiment. In the example of FIG. 6, the area C contained when precast deck slabs PF7 to PF10 of the first shape group are stacked so that their centers of gravity are aligned is calculated as the area of the contained portion.
[0033] Returning to Figure 5, the shape counting unit 42 counts the number of precast deck slab shapes in the first shape group for each set of parameter candidate values, and sets this as a value indicating the number of precast shapes. At this time, the shape counting unit 42 also counts the number of precast deck slabs of each shape.
[0034] For each shape of precast floor slabs in the first shape group, the cast-in-place quantity calculation unit 43 calculates (A1-A2) x C1, where A1 is the area of the shape, A2 is the area of the contained part calculated by the contained area calculation unit 41 for the corresponding set of candidate parameter values, and C1 is the number of precast floor slabs of that shape.The cast-in-place quantity calculation unit 43 calculates the total value indicating the quantity of cast-in-place concrete for each shape for each set of candidate parameter values, and sets this as the value indicating the quantity of cast-in-place concrete for each set of candidate parameter values.
[0035] FIG. 7 is a flowchart illustrating an example of the operation of the deck allocation device 10 in this embodiment. First, the bridge alignment input unit 11 accepts input of data indicating the alignment of the center line of the bridge (step Sa1). Next, the restriction condition input unit 12 accepts input of restriction conditions for deck allocation (step Sa2). Next, the bridge division unit 13 divides the bridge into one or more sections (step Sa3). Next, the parameter candidate determination unit 141 sets initial values for candidate values of multiple sets of parameters (step Sa4). These initial values may be random values that satisfy the constraint conditions.
[0036] Next, the following steps Sa6 to Sa9 are performed for each of the multiple sets (steps Sa5 and Sa10). First, the slab allocation unit 142 allocates precast slabs and determines the shape of each precast slab (step Sa6). Next, the slab classification unit 143 classifies the precast slabs into first to third shape groups according to their shapes (step Sa7).
[0037] Next, the first shape processing unit 144 to the third shape processing unit 146 process the first shape group to the third shape group (step Sa8). That is, the first shape processing unit 144 to the third shape processing unit 146 calculate a value indicating the number of precast shapes and a value indicating the quantity of cast-in-place concrete for the corresponding shape group. Next, the precast shape number summation unit 147 and the cast-in-place quantity summation unit 148 respectively sum up the values indicating the number of precast shapes and the values indicating the quantity of cast-in-place concrete (step Sa9).
[0038] After steps Sa6 to Sa9 are performed for each of the multiple sets, the parameter candidate selection unit 149 selects several sets of parameter candidate values to retain (step Sa11). This selection corresponds to selecting highly fit individuals in a genetic algorithm. If the repetition of the genetic algorithm has ended, such as after a predetermined number of repetitions (step Sa12-Yes), the process ends. If the repetition has not ended (step Sa12-No), the parameter candidate determination unit 141 crosses over and mutates the parameter candidate values of the set selected in step Sa11, prepares multiple sets of parameter candidate values (step Sa13), and returns to step Sa5.
[0039] FIG. 8 is a table showing examples of candidate values for multiple sets of parameters in this embodiment. In the example of FIG. 8, the bridge division unit 13 divides the bridge into three sections: Section 1, Section 2, and Section 3. Each row of the table in FIG. 8 represents a set of candidate values for the parameters. For example, the candidate values for the parameters in the first set have values for width, left tilt, right tilt, and ratio for each of the three sections: Section 1, Section 2, and Section 3. Here, the width corresponds to width W in FIG. 2, the left tilt corresponds to angle θl, the right tilt corresponds to angle θr, and the ratio corresponds to distance A / distance B. For Section 1, the width is W11, the left tilt is θl11, the right tilt is θr11, and the ratio is R11. Similarly, for Section 2, the width is W12, the left tilt is θl12, the right tilt is θr12, and the ratio is R12. For section 3, the width is W13, the left tilt is θl13, the right tilt is θr13, and the ratio is R13. Similarly, the candidate values for the other sets of parameters have values for the width, left tilt, right tilt, and ratio for each of the three sections, section 1, section 2, and section 3.
[0040] In the above embodiment, the shapes are classified into three shape groups, but the number of classifications may be other numbers. Furthermore, the shapes to be classified are not limited to right-leaning parallelograms and left-leaning parallelograms.
[0041] The present invention may also be embodied as follows. (1) One embodiment of the present invention is a slab allocation device that includes a bridge division unit that divides a bridge into one or more sections, and a slab allocation determination unit that determines slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators.
[0042] This allows the slab allocation device to allocate precast slabs taking into account the number of precast shapes and the amount of cast-in-place concrete.
[0043] (2) Another embodiment of the present invention is the deck allocation device described in (1), wherein the parameters are values indicating the width of the precast deck, the angle between the precast deck and the representative line of the section, and the ratio of the distance from the precast deck at one end of the section to the adjacent section to the distance from the precast deck at the other end to the other adjacent section, and the representative line is a straight line connecting both ends of the center line of the bridge in the section.
[0044] This allows the deck allocation device to represent the shape of the precast using parameters.
[0045] (3) Another embodiment of the present invention is a deck allocation device as described in (1) or (2), wherein the deck allocation determination unit sets the parameter values to be the same between multiple consecutive sections when the curvature of the bridge in the section connecting the multiple consecutive sections is constant.
[0046] This allows the deck allocation device to make the shape of the precast deck the same (common) in multiple consecutive sections where the curvature is constant.
[0047] (4) Another embodiment of the present invention is a slab allocation device described in any one of (1) to (3), which classifies the precast slabs into a plurality of shape groups based on their shapes, and in each shape group, calculates a value representing the quantity of cast-in-place concrete by regarding the portion of the precast slab other than the portion that is included when the shape of the precast slab to the adjacent precast slab is superimposed with half of the filler portion added, as the portion of cast-in-place concrete.
[0048] This allows the slab allocation device to calculate a value indicating the quantity of cast-in-place concrete without directly calculating the quantity.
[0049] (5) Another embodiment of the present invention is a slab allocation method comprising the steps of dividing a bridge into one or more sections, and determining slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators.
[0050] This allows the slab allocation method to allocate precast slabs taking into account the number of precast shapes and the quantity of cast-in-place concrete.
[0051] (6) Another embodiment of the present invention is a program for causing a computer to function as a bridge division unit that divides a bridge into one or more sections, and a slab allocation determination unit that determines slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indicators.
[0052] This allows a computer that loads and executes the program to allocate precast deck slabs taking into account the number of precast shapes and the amount of cast-in-place concrete.
[0053] 1 may be recorded on a computer-readable recording medium, and the program for realizing the functions of the bridge alignment input unit 11, the limiting condition input unit 12, the bridge division unit 13, and the deck allocation determination unit 14 may be read into a computer system and executed to realize the bridge alignment input unit 11, the limiting condition input unit 12, the bridge division unit 13, and the deck allocation determination unit 14. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.
[0054] "Computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, "computer-readable recording media" also includes devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over networks like the Internet or over communication lines like telephone lines, and devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients. The programs may also be programs that implement some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system.
[0055] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like are also included within the scope that does not deviate from the gist of the present invention. [Explanation of symbols]
[0056] 10 Deck layout device 11 Bridge alignment input section 12 Restriction condition input section 13 Bridge division 14 Deck layout determination section 41 Contained area calculation section 42 Shape Number Counting Unit 43 Cast-in-place quantity calculation section 141 Parameter candidate determination unit 142 Deck layout section 143 Floor slab classification department 144 First shape processing section 145 Second shape processing section 146 Third shape processing section 147 Precast Shape Number Total Section 148 Cast-in-place quantity calculation section 149 Parameter candidate selection section
Claims
1. a bridge division unit that divides the bridge into one or more sections; a slab layout determination unit that determines slab layout parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indices; A deck allocation device comprising:
2. The parameters are values indicating the width of the precast floor slab, the angle between the precast floor slab and a representative line of the section, and the ratio of the distance from the precast floor slab at one end of the section to an adjacent section to the distance from the precast floor slab at the other end to the other adjacent section, The representative line is a straight line connecting both ends of the center line of the bridge in the section. The deck allocation device according to claim 1.
3. The deck allocation device according to claim 1, wherein the deck allocation determination unit sets the parameter values to be the same between the plurality of consecutive sections when the curvature of the bridge in the section connecting the plurality of consecutive sections is constant.
4. A slab allocation device as described in any one of claims 1 to 3, which classifies the precast slabs into multiple shape groups based on their shape, and in each shape group, the part other than the part included when the shape of the precast slab to the adjacent precast slab is superimposed with half of the filler section added is considered to be the part of cast-in-place concrete, and a value representing the quantity of cast-in-place concrete is calculated.
5. Dividing the bridge into one or more sections; determining floor slab allocation parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indices; A deck allocation method having the following.
6. Computer, a bridge division that divides the bridge into one or more sections; a floor slab layout determination unit that determines floor slab layout parameters for each of the one or more sections using a value representing the number of precast shapes and a value representing the quantity of cast-in-place concrete as evaluation indices; A program to function as a
Citation Information
Patent Citations
Floor slab replacement method
JP2018104970A