Constrained optimization analysis and design of laterally loaded piles

Finding an accurate solution to a laterally loaded pile problem is often of intense debate among academics specializing in the field of Civil Engineering. Several methodologies have been applied such as p-y curves and the elastic continuum method. This project examines the solving of laterally loade...

Full description

Saved in:
Bibliographic Details
Main Author: Rahul Koshal Dubey
Other Authors: Low Bak Kong
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16123
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-16123
record_format dspace
spelling sg-ntu-dr.10356-161232023-03-03T17:11:39Z Constrained optimization analysis and design of laterally loaded piles Rahul Koshal Dubey Low Bak Kong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Geotechnical Finding an accurate solution to a laterally loaded pile problem is often of intense debate among academics specializing in the field of Civil Engineering. Several methodologies have been applied such as p-y curves and the elastic continuum method. This project examines the solving of laterally loaded piles by first using deterministic analysis. Some case studies will be discussed in this project to illustrate the nature of laterally loaded piles. This method involves a computational spreadsheet procedure using non-linear p-y curves. There are mainly two aspects to this; an optimization application called Solver in Microsoft Excel, where constrained optimization analysis is carried out together with Visual Basic (VBA), a programming environment. The pile is modeled as beam on a non-linear springs subjected to lateral loads. User input of a relevant p-y model is carried out. This is important as the appropriate model used provides a better solution, which is often debated by engineers and academics. The method is used on case studies where the results are subsequently compared to those from other programs such as LPILE, a program from Ensoft. Probabilistic analysis using Microsoft Excel is also discussed where certain variables such as pile and soil properties are treated as random variables and spatial autocorrelation of soil properties are taken into consideration. The Hasofer-Lind reliability index is used where the user can define a specific limit state and a resulting probability of failure can be obtained. An obvious advantage of using Excel spreadsheet over other programs is that minimal programming is required. Furthermore, results provided by Excel are compatible with those obtained from other programs such as LPILE. Microsoft Excel, a readily available program has a tremendous potential of being very useful in the resolution of engineering problems such as laterally loaded piles. Bachelor of Engineering (Civil) 2009-05-21T04:49:29Z 2009-05-21T04:49:29Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16123 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Geotechnical
spellingShingle DRNTU::Engineering::Civil engineering::Geotechnical
Rahul Koshal Dubey
Constrained optimization analysis and design of laterally loaded piles
description Finding an accurate solution to a laterally loaded pile problem is often of intense debate among academics specializing in the field of Civil Engineering. Several methodologies have been applied such as p-y curves and the elastic continuum method. This project examines the solving of laterally loaded piles by first using deterministic analysis. Some case studies will be discussed in this project to illustrate the nature of laterally loaded piles. This method involves a computational spreadsheet procedure using non-linear p-y curves. There are mainly two aspects to this; an optimization application called Solver in Microsoft Excel, where constrained optimization analysis is carried out together with Visual Basic (VBA), a programming environment. The pile is modeled as beam on a non-linear springs subjected to lateral loads. User input of a relevant p-y model is carried out. This is important as the appropriate model used provides a better solution, which is often debated by engineers and academics. The method is used on case studies where the results are subsequently compared to those from other programs such as LPILE, a program from Ensoft. Probabilistic analysis using Microsoft Excel is also discussed where certain variables such as pile and soil properties are treated as random variables and spatial autocorrelation of soil properties are taken into consideration. The Hasofer-Lind reliability index is used where the user can define a specific limit state and a resulting probability of failure can be obtained. An obvious advantage of using Excel spreadsheet over other programs is that minimal programming is required. Furthermore, results provided by Excel are compatible with those obtained from other programs such as LPILE. Microsoft Excel, a readily available program has a tremendous potential of being very useful in the resolution of engineering problems such as laterally loaded piles.
author2 Low Bak Kong
author_facet Low Bak Kong
Rahul Koshal Dubey
format Final Year Project
author Rahul Koshal Dubey
author_sort Rahul Koshal Dubey
title Constrained optimization analysis and design of laterally loaded piles
title_short Constrained optimization analysis and design of laterally loaded piles
title_full Constrained optimization analysis and design of laterally loaded piles
title_fullStr Constrained optimization analysis and design of laterally loaded piles
title_full_unstemmed Constrained optimization analysis and design of laterally loaded piles
title_sort constrained optimization analysis and design of laterally loaded piles
publishDate 2009
url http://hdl.handle.net/10356/16123
_version_ 1759856119413473280