Construction vibration risk assessment of LLE nonlinear characteristics based on ANFIS

Abstract

The risk analysis related to construction projects is a decision-making tool, which can provide auxiliary decision-making information to the managers when they make decisions, thus improving the credibility of the decision. Project risk analysis tries to find all the abnormal events that may lead to the failure of the project to be carried out according to the scheduled plan. The risk management needs to identify all the risk factors that cause uncertainty, evaluate the probability and consequences of the occurrence of the event, and take reasonable measures to reduce the possibility and loss of the risk. The developed countries have taken the risk analysis as an important part of the feasibility analysis of the project planning stage. The variability of the project makes the managers unwilling to invest too much time and cost to take advanced risk management measures. Construction vibration risk assessment is based on high-dimensional and large data. LLE can effectively extract the nonlinear characteristics of high-dimensional data. ANFIS is an effective method of classification evaluation. Using LLE and ANFIS to classify and evaluate the high-dimensional feature vectors of construction vibration, it can effectively identify the risk of construction vibration.