Entropy algorithm improvement-based cloud model and fault tree ancient building risk analysis method

Abstract

The invention discloses an entropy algorithm improvement-based cloud model and fault tree ancient building risk analysis method. The method comprises the following steps of (1) collecting structure information of an ancient wood structure building and establishing a fault tree, wherein a lowest layer of the fault tree is a disease factor of a basic unit; (2) performing qualitative evaluation on the disease factors by n experts, converting the qualitative evaluation of each expert into evaluation clouds, and synthesizing the n evaluation clouds into disease factor clouds through an entropy improvement comprehensive cloud algorithm; (3) upwards synthesizing the disease factor clouds into clouds according to the fault tree through a weighted comprehensive cloud model algorithm; and (4) determining the risk level of the old wood structure building according to the expected value of the fault tree top layer evaluation unit cloud. According to the method, the cloud model is introduced to quantitatively describe the safety evaluation data of the ancient wood structure building, the risk relationship is described by combining the fault tree and the advantages of the fault system architecture, the risk levels of all basic reason units and the overall structure unit which possibly cause faults are calculated, and risk sorting is provided.

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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