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Developing a statistical model for building settlement prediction

Jing Du, +1 more
TLDR
In this article, the authors developed a statistical model to predict the building settlement and developed an interactive education tool based on the statistical model, which is much easier for CSM students to explore the relationship between building and soil characteristics and building final settlement.
Abstract
Texas is well known for its complex soil conditions and corresponding building settlement issues. As a result, it is important to introduce to the students of Construction Science and Management (CSM) program the basic building settlement concepts including causes, consequences and treatments. One important topic is how the design of a building (e.g., height, weight and foundation types) affect building settlement on various types of soil. This requires the ability to calculate building settlement. However, theoretical models that are used in the geotechnical engineering area are too complicated to non-engineering students. This paper develops a statistical model to predict the building settlement. An interactive education tool has also been developed based on the statistical model, which is much easier for CSM students to explore the relationship between building & soil characteristics and building final settlement. The model and the tool will be tailored into the Construction Materials and Methods course at the University of Texas at San Antonio as a part of the soil and foundation topic.

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Posted Content

A Probabilistic Simulation Based VaR Computation and Sensitivity Analysis Method

Wendy Li
- 18 Mar 2015 - 
TL;DR: A new method to compute VaR (value at risk) and perform corresponding variance based sensitivity analysis based on a probabilistic simulation technique called Simulation As You Operate (SAYO).
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The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

TL;DR: In this paper , the authors calculate a previously unquantified contribution to subsidence from the cumulative mass and downward pressure exerted by the built environment of the city, and enforce that load distribution in a multiphysics finite element model to calculate expected subsidence.
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The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

TL;DR: In this article , the authors calculate a previously unquantified contribution to subsidence from the cumulative mass and downward pressure exerted by the built environment of the city, and enforce that load distribution in a multiphysics finite element model to calculate expected subsidence.
References
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Book

Applied Linear Statistical Models

TL;DR: Applied Linear Statistical Models 5e as discussed by the authors is the leading authoritative text and reference on statistical modeling, which includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.
Book

Foundation analysis and design

TL;DR: In this paper, Fondation de soutenagement et al. presented a reference record for Dimensionnement Reference Record created on 2004-09-07, modified on 2016-08-08.
Book

Finite element analysis in geotechnical engineering : theory

TL;DR: In this article, the authors provide geotechnical and structural engineering practitioners, researchers and postgraduate students with an insight into the use of finite element methods in geotechical contexts, in order that they might make good judgements as to the credibility of the numerical results they may obtain or review in the future.
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Closure on static cone to compute static settlement over sand

TL;DR: The use of a flat-ended PENET as mentioned in this paper runs into a number of problems, such as the tendency of the TIP to drift and the difficulty of carrying down its own soil plug.