Results 41 to 50 of about 2,198,761 (284)
BeeRootBot: A Bioinspired Robotic Probe Exhibiting Apical Growth through In Situ Soil Binding
Advanced Intelligent Systems, EarlyView.This study introduces a novel method for consolidating subterranean exploration pathways in plant‐inspired robots by binding in‐situ soil with beeswax, a biobased material. This simultaneous advancement and wall‐lining process reduces penetration resistance, enhances exploration efficiency, enables communication and resource sharing, and promotes ...
Sachin Sachin +4 more
wiley +1 more source
Mono-objective Optimization of Retaining Wall Using Genetic Algorithm
Selected Scientific Papers: Journal of Civil Engineering, 2023 This paper examines the importance of geotechnical optimization techniques for soil engineering applications, with a particular emphasis on evaluating geotechnical structures.
Boukhatem Ghania +3 more
doaj +1 more source
The Domus Nozze D'Argento in Pompeii: Structural Diagnosis Using Geophysical Methods
Archaeological Prospection, EarlyView.ABSTRACT Monitoring of ancient buildings is an issue of great interest in view of a proper restoration. This paper describes the noninvasive monitoring of the Domus Nozze D'Argento in Pompeii. The Roman house, as occurred for many other buildings in Pompei, was buried in the ash from the 79 ad eruption of Mount Vesuvius.
Nicola Masini +4 more
wiley +1 more source
Determination of geotechnical parameters based on the unsupervised learning method
Shuiwen dizhi gongcheng dizhi, 2023 With the development of urban engineering construction, the issue of construction engineering accidents has become more and more prominent. The geotechnical parameter interval obtained by using the traditional methods cannot meet the needs of actual ...
Yongfen RUAN +4 more
doaj +1 more source
Archaeological Prospection, EarlyView.ABSTRACT Temperate river floodplains present a significant challenge for archaeologists, as cultural and palaeoenvironmental remains are often difficult to locate but can be exceptionally well preserved, especially where groundwater levels are high. In these alluvial environments, the deposition of thick, fine‐grained sediments has potential to deeply ...
Nicholas Crabb +3 more
wiley +1 more source
New Developments in Geotechnical Earthquake Engineering
Advances in Materials Science and Engineering, 2014 Based on the review on the advances of several important problems in geotechnical seismic engineering, the authors propose the initial analysis theory of time-frequency-amplitude (known as TFA for short), in an effort to realize the organic combination ...
Yang Changwei +3 more
doaj +1 more source
Advances in Civil Engineering, 2021 In the past 30 years, because of built-in advantages, energy saving, pollution control, and sustainability, the energy pile system has had a rapid development around the world.
Jianguo Peng, Qingwen Li, Chungho Huang
doaj +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Digital documentation of railway tunnel inspection in Austria
Civil Engineering Design, Volume 7, Issue 1, Page 3-8, March 2025.Abstract Infrastructure, especially railway tunnels, require continuous inspection to ensure their safety. Furthermore, the detection of damages at an early stage can improve their service life. These tasks represent a major challenge for those involved and the tunnel down time is a disruption in operation.
Matthias J. Rebhan +4 more
wiley +1 more source
Rock Mass Anomaly Detection with a Variational Autoencoder in Tunnel Boring Machine Data
Civil Engineering Design, EarlyView.Abstract This study presents an unsupervised machine learning approach to rock mass anomaly detection in tunnel boring machine operational data using a Variational Autoencoder combined with bidirectional Long Short‐Term Memory cells. The model was trained on TBM data from the Brenner Base Tunnel project, with minor faults and geotechnically relevant ...
Mario Wölflingseder +2 more
wiley +1 more source