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書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects影響因子(影響力)




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects影響因子(影響力)學(xué)科排名




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects網(wǎng)絡(luò)公開度




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects被引頻次




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects被引頻次學(xué)科排名




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects年度引用




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects年度引用學(xué)科排名




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects讀者反饋




書目名稱Geotechnical Lessons Learnt—Building and Transport Infrastructure Projects讀者反饋學(xué)科排名

Epithelium

Applying Probabilistic Methods for Slope Stability Analysis,ention in the literature. This paper tries to demonstrate how probabilistic methods can be applied to slope stability analysis. The probabilistic methods used in this paper range from simple First Order Second Moment method (FOSM), First Order Reliability Method (FORM) and Monte Carlo Simulations (M

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CURT

Application of Machine Learning Methods in Estimating Soil Parameters from Dynamic Penetration TestThis device, however, cannot be easily employed in offshore sites where the soil is relatively inaccessible. On such sites, free-falling (dynamic) penetrometers are employed to provide information on the mechanical properties of the soil. These devices can provide the total time and depth of penetra

TOXIN

A Case Study of an Impact Assessment of an Excavation in the Sydney CBD: Adopting Industry Guidancemous benefits but can also be misused which can lead to dangerous applications. This has been recognised within the industry through C791 published by the Construction Industry Research and Information Association (CIRIA). The guidance within C791 aims to improve the outcomes for modelling projects

使殘廢

Bayesian Analysis of Consolidation Parameters of a Tailings Storage Facility,the required information to forecast the storage capacity and life span of the facility. Density reconciliation is necessary because different stakeholders (e.g. designers, processing plant operators and TSF operators) inform their density predictions from various data sources. For geotechnical desi

阻礙

Cognitive Biases and Their Influence on Projects,e by a coal mining contractor to modify excavation equipment that would enable continuous mining capabilities. Established and recent theoretical decision frameworks are reviewed and implemented in this decision analysis, revealing decision oversights and logical fallacies that resulted in project a