COLLAPSE WARNING SYSTEM USING LSTM NEURAL NETWORKS FOR CONSTRUCTION DISASTER PREVENTION IN EXTREME WIND WEATHER

Chih-Chiang Wei

doi:10.3846/jcem.2021.14649

Abstract

Strong wind during extreme weather conditions (e.g., strong winds during typhoons) is one of the natural factors that cause the collapse of frame-type scaffolds used in façade work. This study developed an alert system for use in determining whether the scaffold structure could withstand the stress of the wind force. Conceptually, the scaffolds collapsed by the warning system developed in the study contains three modules. The first module involves the establishment of wind velocity prediction models. This study employed various deep learning and machine learning techniques, namely deep neural networks, long short-term memory neural networks, support vector regressions, random forest, and k-nearest neighbors. Then, the second module contains the analysis of wind force on the scaffolds. The third module involves the development of the scaffold collapse evaluation approach. The study area was Taichung City, Taiwan. This study collected meteorological data from the ground stations from 2012 to 2019. Results revealed that the system successfully predicted the possible collapse time for scaffolds within 1 to 6 h, and effectively issued a warning time. Overall, the warning system can provide practical warning information related to the destruction of scaffolds to construction teams in need of the information to reduce the damage risk.

Highlights

IntroductionBecause it is situated near the Asian continent and on the main paths of western North Pacific typhoons (Cheng et al, 2008)
Taiwan experience typhoons frequently, because it is situated near the Asian continent and on the main paths of western North Pacific typhoons (Cheng et al, 2008)
The first module involves the establishment of wind velocity prediction models, the second module contains the analysis of the wind force on the scaffolds, and the third module involves the development of the scaffold collapse evaluation approach

Summary

Introduction

Because it is situated near the Asian continent and on the main paths of western North Pacific typhoons (Cheng et al, 2008). On September 27, 2016, Typhoon Megi made landfall in Taiwan and caused the scaffolds on the external walls of Le Méridien Taichung to collapse (Figure 1). In Taiwan, frame-type scaffolding is the most common scaffolding method used at construction sites. As noted in Lin and Yen (2016), frame-type scaffolds are temporary structures for construction projects that are immediately dismantled after use. MOL (2014) stated that when façade frame type scaffolds are assembled at the outer area of the buildings, they often collapse under two conditions. They could collapse when the construction is shut down due to the typhoon invasion

Objectives

Methods

Discussion

Conclusion