Improved cloud model and fault tree risk analysis method for ancient buildings based on entropy algorithm

Abstract

The invention discloses an improved cloud model based on an entropy algorithm and a fault tree risk analysis method for ancient buildings, including the following steps: (1) collecting structural information of old wooden structures and establishing a fault tree, and the lowest layer of the fault tree is the disease of the basic unit (2) The disease factors are qualitatively evaluated by n experts, and the qualitative evaluation of each expert is converted into an evaluation cloud, and then the n evaluation clouds are synthesized into a disease factor cloud through an entropy-improved comprehensive cloud algorithm; (3) The disease factor cloud is synthesized upward according to the fault tree through the weighted comprehensive cloud model algorithm; (4) The risk level of the old wooden structure building is determined according to the expected value of the evaluation unit cloud at the top of the fault tree. The invention introduces the cloud model to quantitatively describe the safety evaluation data of old wooden structures, combines the advantages of the fault tree to describe the risk relationship and the fault system architecture, calculates the risk levels of each basic cause unit that may cause a fault and the overall structural unit, and provides risk ranking .

Description

technical field [0001] The invention belongs to the field of ancient building monitoring, and in particular relates to an improved cloud model and fault tree risk analysis method for ancient buildings based on an entropy algorithm. Background technique [0002] Due to the influence of environmental erosion and other destructive effects, old wooden structures are often affected by various types of diseases with wide distribution and varying degrees, and are in a complex damage state; effective identification, analysis and prediction of risk problems in complex diseased structures , and take reasonable measures in time to eliminate hidden dangers, which can move the threshold of risk control forward, thereby reducing the probability of safety accidents. However, for the purpose of protecting historical relics, when identifying and analyzing the degree of disease and distribution of ancient architectural structures and their impact on structural performance, frequent disturbanc...

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Problems solved by technology

[0004] In view of the above problems, the existing methods usually use triangular whitening function to deal with uncertain information, use AHP to build evaluation models, and use BIM technology for equipment management. However, triangular whitening function is a linear function, only in the "fuzzy uncertainty "Analyze on this dimension, and engineering problems usually have two dimensions of "fuzzy uncertainty" and "random uncertainty"; There are "overlapping" and "complementary" effects, and AHP is not good at defining the correlation between factors, nor is it good at dealing with complex multi-factor problems

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