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Your search keyword '"Xiuzhi Shi"' showing total 4 results
Start Over Author "Xiuzhi Shi" Publisher american society of civil engineers (asce)
4 results on '"Xiuzhi Shi"'

1. Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

Author

Xiuzhi Shi, Xin Chen, Jian Zhou, Enming Li, Mingzheng Wang, and Lishuai Jiang

Subjects
Stochastic gradient boosting, 021105 building & construction, 0211 other engineering and technologies, Liquefaction, 020101 civil engineering, 02 engineering and technology, Building and Construction, Safety, Risk, Reliability and Quality, Civil engineering, Geology, 0201 civil engineering, Civil and Structural Engineering
Abstract

Earthquakes have always attracted civil and geotechnical engineers’ attention, especially when it comes to the liquefaction potential of soil. This paper investigates the feasibility of cla...

Published
2019

3. Optimal Charge Scheme Calculation for Multiring Blasting Using Modified Harries Mathematical Model

Author

Jian Zhou, Mingzheng Wang, and Xiuzhi Shi

Subjects
Yield (engineering), Materials science, 0211 other engineering and technologies, 020101 civil engineering, Charge (physics), 02 engineering and technology, Building and Construction, Mechanics, Ring (chemistry), 0201 civil engineering, Scheme (mathematics), 021105 building & construction, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, Rock blasting
Abstract

A new optimization method for optimal charge scheme calculation is proposed to reduce undesired phenomenon in ring blasting, including brow damage, overcrushing, and bulking yield, which ar...

Published
2019

4. Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel

Author

Kun Du, Xibing Li, Jian Zhou, Xiuzhi Shi, Xianyang Qiu, and Hani S. Mitri

Subjects
Engineering, business.industry, Settlement (structural), 0211 other engineering and technologies, Soil Science, 02 engineering and technology, Ground settlement, Tunnel construction, Civil engineering, Cross-validation, Random forest, Shield, Shield tunneling, Human settlement, business, 021106 design practice & management, 021101 geological & geomatics engineering
Abstract

Ground settlements above a tunnel as a result of tunnel construction can be predicted with the help of input variables that have direct physical significance. Several empirical and artificial intelligence methods for estimating ground settlements have been established by researchers. However, these methods have some limitations because the large number of influential factors involved makes tunnel–ground interaction complicated. In this work, a random forest (RF) was developed and employed to predict ground settlements above tunnels. To achieve this goal, tunnel geometry, geological properties, and construction parameters were investigated as input variables to utilize in the RF modeling, resulting in the maximum surface settlement value (Smax) and trough width (i) as the ground surface settlement index. To demonstrate the applicability of the RF model, two data sets associated with different features, which were obtained from a detailed investigation of different tunnel projects published in litera...

Published
2017

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