Adjacent building safety quantitative evaluation method in tunnel construction

Abstract

The invention belongs to the field of engineering risk evaluation, and particularly relates to an adjacent building safety quantitative evaluation method in tunnel construction. The adjacent building safety quantitative evaluation method in the tunnel construction mainly comprises the following steps of step 1, building an evaluation index system, step 2, building a standard extensible cloud model of evaluation indexes, step 3, computing and obtaining a weight matrix of the evaluation indexes through a subjective and objective weighting method, step 4, computing a relevancy matrix of a to-be-evaluated object through cloud relevancy computing, and obtaining a safety evaluation grade of the to-be-evaluated object through a weighted average method and combination of an evaluation index weighted value and the relevancy matrix, and step 5, measuring the reliability of safety evaluation grade. The adjacent building safety quantitative evaluation method in the tunnel construction combines advantages of a cloud model and an extensible theory, and provides effective decision support advices for protection and control of an adjacent building of different safety grades.

Description

technical field [0001] The invention belongs to the field of engineering risk evaluation, in particular to a method for quantitatively evaluating the safety of adjacent buildings during tunnel construction. Background technique [0002] Tunnel construction will inevitably cause certain disturbances to the surrounding soil, which will cause soil deformation and surface settlement, especially the safety impact on adjacent buildings is more obvious. When the ground movement and surface deformation exceed a certain limit, it will cause accidents such as ground subsidence and damage to surrounding buildings, resulting in serious economic losses and adverse social impacts. Especially for urban underground tunnel projects, they generally pass through the central area of ​​the city. Due to dense buildings, narrow construction sites, complex geological conditions, dense underground pipe network, and limited traffic, it is necessary to strictly control the damage of tunnel constructio...

AI Technical Summary

Problems solved by technology

However, due to factors such as the incompleteness of historical comprehensive data, the limitations of expert knowledge, and the uncertainty of empirical judgment and expression, the classification of evaluation indicators has greater fuzziness and randomness, and most of the existing research results Failure to give an effective and reasonable representation reduces the credibility of the evaluation results to a certain extent

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