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The study focuses on two study areas: San Juan in Puerto Rico, which was affected by Hurricane Maria in September 2017, and Sarpol Zahab in Iran, which was one of the towns affected by an earthquake i...
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
In recent years, many operators in Japan have been facing the problem of declining skills in occupational safety management. Operators have not been sharing adequate know-how about safety because they...
This paper presents the application of tilt sensors to measure the movements of a slope surface and slope crest just before failure during excavation of the lower parts of the slope. The tilt sensors ...
Normal failure or risk analyses procedure contains the following steps; 1) modeing process, 2) assessment process of its hazardous extent. 1) Modeling process is the considering procedure that sets th...
With the aim of improving the accuracy of the assessment of existing structures, damage detection using vibration-based nondestructive testing (NDT) has been extensively studied. It has been recognize...
In order to prevent an accident due to leakage of a contained fluid from the joints, it is important to establish a method for the estimation of stress relaxation behavior. It is a need to evaluate th...
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
Problem: Exercise-based research interventions demonstrate reduced risk and rates of falls for community dwelling older adults; however, little is known about effective mechanisms for the translation,...
The optimal solution of a multi-objective optimization problem (MOP) corresponds to a Pareto set that is characterized by a tradeoff between objectives. Genetic Pareto Set Identification Algorithm (GP...
The optimal solution of a multi-objective optimization problem (MOP) corresponds to a Pareto set that is characterized by a tradeoff between objectives. Genetic Pareto Set Identification Algorithm (GP...
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
Using an online survey, we asked safety researchers around the globe how they perceived the quality of a list of 35 representative safety journals. We found that the most well-respected journal by exp...
In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation serie...
In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation serie...

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