Artificial intelligence for modeling load-settlement response of axially loaded (steel) driven piles

QR Code

Artificial intelligence for modeling load-settlement response of axially loaded (steel) driven piles

The design of pile foundations requires good estimation of the pile load-carrying capacity and settlement. Design for bearing capacity and design for settlement have been traditionally carried out separately. However, soil resistance and settlement are influenced by each other and the design of pile...

Full description

Bibliographic Details
Main Author:	Shahin, Mohamed
Other Authors:	Pierre Delage
Format:	Conference Paper
Published:	Presses des Ponts 2013
Subjects:	artificial intelligence modeling pile foundations load-settlement recurrent neural networks
Online Access:	http://www.issmge.org/images/joomd/797-800.pdf http://hdl.handle.net/20.500.11937/15587

Similar Items

Artificial intelligence for modelling load-settlement response of axially loaded bored piles
by: Shahin, Mohamed
Published: (2014)

Load-settlement modeling of axially loaded steel driven piles using CPT-based recurrent neural networks
by: Shahin, Mohamed
Published: (2014)

Load-settlement modelling of axially loaded drilled shafts using CPT-based recurrent neural networks
by: Shahin, Mohamed
Published: (2014)

Simulating pile load-settlement behavior from CPT data using intelligent computing
by: Alkroosh, Iyad, et al.
Published: (2011)

Modelling pile capacity and load-settlement behaviour of piles embedded in sand & mixed soils using artificial intelligence
by: Alkroosh, Iyad Salim Jabor
Published: (2011)

Intelligent computing for modeling axial capacity of pile foundations
by: Shahin, Mohamed
Published: (2010)

Shakedown analysis of pile foundations under cyclic lateral loadings
by: Tang, Xiaojun
Published: (2021)

Development of simplified design techniques for estimating undrained bearing loads of piled-raft in soft clay
by: Tan, Kim Leong
Published: (2015)

Comparative study on interpreting pile bearing capacity from CPT result / Nydia Mohamad Yatim
by: Mohamad Yatim, Nydia
Published: (2006)

A review of artificial intelligence applications in shallow foundations
by: Shahin, Mohamed
Published: (2015)

Reliability of jack-in method in assessing pile Bearing capacity / Mozzi Solomon Sensing
by: Sensing, Mozzi Solomon
Published: (2006)

A Mathematically Developed Dynamic Model for Laterally Loaded Piles
by: Bahrami, Amir, et al.
Published: (2013)

An evaluation on the performance of the stabilized silty soil using lime and rice husk ash / Rahayu Daud
by: Daud, Rahayu
Published: (2007)

Predicting axial capacity of driven piles in cohesive soils using intelligent computing
by: Alkroosh, Iyad, et al.
Published: (2011)

Measurement of ground motion near piles during driving
by: Woods, Richard, et al.
Published: (2014)

Analysis and design of axially loaded pile response to excavation-induced soil movement
by: Wong, Soon Yee
Published: (2019)

Modularity in artificial neural networks
by: Amer, Mohammed Elsayed Mohammed
Published: (2021)

Investment Process in China's Mutual Funds and Application of Artificial Intelligence
by: Xie, Ningjia
Published: (2008)

Finite Element Analyses of Granular Pile Anchors as a Foundation Option for Reactive Soils
by: Ismail, M., et al.
Published: (2011)

Control of electrical systems using artificial intelligence for more electric aircraft applications
by: Hussaini, Habibu
Published: (2023)

Initial Soil Springs Stiffness for laterally loaded Piles
by: Bahrami, Amir, et al.
Published: (2012)

Numerical modeling of granular pile-anchor foundations (GPAF) in reactive soils
by: Ismail, M., et al.
Published: (2012)

Tunnelling effects on capped piles and masonry buildings with shallow strip foundations
by: Tang, Chuanjin
Published: (2024)

Toward Accountable and Explainable Artificial Intelligence Part one: Theory and Examples
by: Khan, Masood, et al.
Published: (2022)

Toward Accountable and Explainable Artificial Intelligence Part Two: The Framework Implementation
by: Vice, Jordan, et al.
Published: (2022)

An analytical study on pile bearing capacity using static load test results / Nurulzatulshima Abdul Karim
by: Abdul Karim, Nurulzatulshima
Published: (2006)

Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation
by: Samui, P., et al.
Published: (2014)

Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
by: Fakharudin, Abdul Sahli
Published: (2017)

Centrifuge modelling of discrete pile rows to stabilise slopes
by: Yoon, Boung Shik
Published: (2008)

Use of evolutionary computing for modelling some complex problems in geotechnical engineering
by: Shahin, Mohamed
Published: (2015)

Predicting load-settlement relationship of driven piles in sand and mixed soils using artificial neural networks
by: Alkroosh, Iyad, et al.
Published: (2010)

Sustainable slow maintained pile load test
by: Abd Aziz, Ameer Nazrin
Published: (2018)

The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli
by: Dzulkafli, Sity Noor Ayseah
Published: (2015)

CPP 302 - CSE 401 - ARTIFICIAL INTELLIGENCE FEB. 1999.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1999)

The study of pile capacity for buildings in UiTM Penang / Budi Iskandar Ibrahim
by: Ibrahim, Budi iskandar
Published: (2006)

Artificial intelligence-based tool condition monitoring in robotic incremental sheet forming through vibration, tool wear and surface roughness analyses
by: Ismail, Nazarul Abidin
Published: (2021)

Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
by: Salari, Nader
Published: (2014)

Hybrid pre-classification technique – artificial neural network for lightning severity classification
by: Omar, Muhammad Azhar
Published: (2014)

Response of Small Diameter Steel Piles in Sand Under Lateral Load
by: Mujah, Donovan, et al.
Published: (2012)

Effect of Shaft Diameter of Pile on Lateral Winkler Springs’ Stiffness
by: Bahrami, Amir, et al.
Published: (2012)

Cannot write session to /tmp/vufind_sessions/sess_sbseafvdj7dv3uls9iqap36o89