TU Darmstadt / ULB / TUprints

Safety Assurance for Challenging Geotechnical Civil Engineering Constructions in Urban Areas

Katzenbach, Rolf ; Bergmann, Christiane ; Leppla, Steffen (2022):
Safety Assurance for Challenging Geotechnical Civil Engineering Constructions in Urban Areas. (Publisher's Version)
In: Open Journal of Civil Engineering, 3 (3B), pp. 33-38. Scientific Research Publishing, ISSN 2164-3164, e-ISSN 2164-3172,
DOI: 10.26083/tuprints-00020476,
[Article]

[img] Text
OJCE_2013101111590953.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (1MB)
Item Type: Article
Origin: Secondary publication service
Status: Publisher's Version
Title: Safety Assurance for Challenging Geotechnical Civil Engineering Constructions in Urban Areas
Language: English
Abstract:

Safety is the most important aspect during design, construction and service time of any structure, especially for challenging projects like high-rise buildings and tunnels in urban areas. A high level design considering the soil-structure- interaction, based on a qualified soil investigation is required for a safe and optimised design. Due to the complexity of geotechnical constructions the safety assurance guaranteed by the 4-eye-principle is essential. The 4-eye-principle consists of an independent peer review by publicly certified experts combined with the observational method. The paper presents the fundamental aspects of safety assurance by the 4-eye-principle. The application is explained on several examples, as deep excavations, complex foundation systems for high-rise buildings and tunnel constructions in urban areas. The experiences made in the planning, design and construction phases are explained and for new inner urban projects recommendations are given.

Journal or Publication Title: Open Journal of Civil Engineering
Volume of the journal: 3
Issue Number: 3B
Publisher: Scientific Research Publishing
Classification DDC: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute of Geotechnics
Date Deposited: 09 Feb 2022 13:45
Last Modified: 09 Feb 2022 13:46
DOI: 10.26083/tuprints-00020476
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-204766
Additional Information:

Keywords: Natural Asset; Financial Value; Neural Network

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20476
PPN:
Export:
Actions (login required)
View Item View Item