Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Sustainability Assessment of Controlled Low Strength Materials Utilizing Various Industrial Waste Materials Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

Analysis of Bearing Capacity and Settlement from Cone Penetration Test Results at an Irrigation Project

verfasst von : J. Sumalatha, J. Suresh Babu

Erschienen in: Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference (IGGEC) 2021, Vol. 1

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A cut-off wall was constructed as part of a multipurpose irrigation project located in East Godavari district of Andhra Pradesh state in India. As the soil strength is a major concern in the design of substructures in soils, it is proposed to study the soil conditions at the site. The cone penetration test results were collected from the water resources department to analyze the bearing capacity and settlement of the soil at different locations. The analysis was carried out using GEO5 software tool considering pile foundations of diameter 1 m and depth of 10 m. From the analyses, it was observed that the bearing capacity of the pile at selected locations was in the range of 2752–4940 kN and the estimated settlements were within the allowable limits.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Effect of Addition of Slag on Engineering Properties of Clayey Soil
Nächstes Kapitel Influence of Burial Depth of Soil on Reinforced Concrete Tunnel Against the Impact and Blast Loading
Literatur
1.
Alkroosh IS, Bahadori M, Nikraz H, Bahadori A (2015) Regressive approach for predicting bearing capacity of bored piles from cone penetration test data. J Rock Mech Geotech Eng 7(5):584–592CrossRef
2.
Shahin MA (2010) Intelligent computing for modeling axial capacity of pile foundations. Can Geotech J 47(2):230–243CrossRef
3.
Abu-Farsakh MY, Titi HH (2004) Assessment of direct cone penetration test methods for predicting the ultimate capacity of friction driven piles. J Geotech Geoenviron Eng 130(9):935–944 CrossRef
4.
Krasiński ADAM (2012) Proposal for calculating the bearing capacity of screw displacement piles in non-cohesive soils based on CPT results. Studia Geotechnica et Mechanica 34(4):41–51CrossRef
5.
Wrana B (2015) Pile load capacity–calculation methods. Studia Geotechnica et Mechanica 37(4)
6.
Heidari P, Ghazavi M (2021) Statistical evaluation of CPT and CPTu based methods for prediction of axial bearing capacity of piles. Geotech Geol Eng 39(2):1259–1287CrossRef
7.
Sirait B, Sarah D (2021) Bearing capacity prediction of mine hauling road using cone penetration testing (CPT). In: IOP conference series: earth and environmental science, vol 789, No. 1. IOP Publishing, p 012071
8.
Xu DS, Liu ZW, Chen B, Xu XY (2020) Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly. Comput Geotech 126:103731CrossRef
9.
Ardalan H, Eslami A, Nariman-Zadeh N (2009) Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms. Comput Geotech 36(4):616–625CrossRef
10.
Eslami A, Fellenius BH (1997) Pile capacity by direct CPT and CPTu methods applied to 102 case histories. Can Geotech J 34(6):886–904CrossRef
11.
Pal M, Deswal S (2008) Modeling pile capacity using support vector machines and generalized regression neural network. J Geotech Geoenviron Eng 134(7):1021–1024CrossRef
12.
Moayedi H, Bui DT, Thi Ngo PT (2019) Neural computing improvement using four metaheuristic optimizers in bearing capacity analysis of footings settled on two-layer soils. Appl Sci 9(23):5264
13.
Cai G, Liu S, Tong L, Du G (2009) Assessment of direct CPT and CPTU methods for predicting the ultimate bearing capacity of single piles. Eng Geol 104(3–4):211–222CrossRef
14.
Heidarie Golafzani S, Jamshidi Chenari R, Eslami A (2020) Reliability based assessment of axial pile bearing capacity: static analysis, SPT and CPT-based methods. Georisk: Assess Manage Risk Engineered Syst Geohazards 14(3):216–230
15.
Nejad FP, Jaksa MB (2017) Load-settlement behavior modeling of single piles using artificial neural networks and CPT data. Comput Geotech 89:9–21CrossRef
16.
Shahin MA (2014) Load–settlement modeling of axially loaded steel driven piles using CPT-based recurrent neural networks. Soils Found 54(3):515–522CrossRef
17.
Alkroosh I, Nikraz H (2011) Simulating pile load-settlement behavior from CPT data using intelligent computing. Central Eur J Eng 1(3):295–305
18.
Baziar MH, Azizkandi AS, Kashkooli A (2015) Prediction of pile settlement based on cone penetration test results: an ANN approach. KSCE J Civil Eng 19(1):98–106CrossRef
19.
Gwizdala K (2020) Polish design methods for single axially loaded piles. In: Design of Axially Loaded Piles European Practice. CRC Press, pp 291–306
Metadaten
Titel
Analysis of Bearing Capacity and Settlement from Cone Penetration Test Results at an Irrigation Project
verfasst von
J. Sumalatha
J. Suresh Babu
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference (IGGEC) 2021, Vol. 1

Print ISBN: 978-981-19-4738-4

Electronic ISBN: 978-981-19-4739-1

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-4739-1_17