Anil Yildiz, Gerrit J Meijer

Broschiertes Buch

Root Reinforcement

Measurement and Modelling

Beschreibung

The contribution of vegetation to slope stability is a complex, multi-scale, and multi-agent mechanism, necessitating inter-disciplinary research. Due to varying backgrounds of researchers working on this topic, standardization of methods and a systematic classification of models is lacking. Root Reinforcement: Measurement and Modeling intends to build confidence among interdisciplinary researchers working in geohazards on how to include vegetation in engineering design by providing more clarity on how to quantify reinforcement, by both focusing on how to collect data (measurements) and how to interpret data collected to make predictions for modified soil properties (modelling). Root Reinforcement: Measurement and Modeling covers mechanical and hydrological interactions between soil and plant roots. It explores and compares measurement techniques, and systematically dissects predictive models developed in the last fifty years of research. The methodical approach and inclusion of executable code makes it a suitable resource for both researchers and practitioners, especially those new to this field.

Autor

Anil Yildiz works as a lecturer at the chair of Methods of Model-based Development in Computational Engineering, RWTH Aachen University, Germany, and he is leading the research group Engineering Climate Change Response. He earned his BSc. and MSc. degrees in Civil Engineering at Bogazici University, and obtained his Dr. sc. in Civil Engineering from ETH Zurich in 2018. He has been awarded the Culmann Prize 2019 for an outstanding thesis on the quantification of biological effects on soil stability. His research focusses mainly on geohazards, covering a wide range of topics, such as shallow landslides, root reinforcement, soil-plant-atmosphere interactions, and methods, such as complex laboratory and field testing as well as computational and surrogate modelling.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 275
• Erscheinungstermin: 1. März 2026
• Englisch
• ISBN-13: 9780443335020
• ISBN-10: 0443335028
• Artikelnr.: 75044230