Keynote Speech 1
Applications of Artificial Intelligence in Geotechnical Engineering
Professor of Geotechnical Engineering in the School of Civil, Environmental and Mining Engineering at the University of Adelaide, Australia
Abstract
Since artificial intelligence was first applied to geotechnical engineering in the mid-1990s, in the form of artificial neural networks (ANNs), it has shown great promise in providing superior estimates of a wide range of geotechnical behaviours and applications, when compared against traditional techniques. This paper examines two artificial intelligence techniques, namely ANNs and genetic programming (GP), that have been applied successfully by the author and his co-workers to the settlement of shallow and pile foundations, and predicting the performance of rolling dynamic compaction. The paper also examines the benefits and limitations of ANNs and GP in the context of geotechnical engineering, and the process for determining optimal models.
Biography
Mark Jaksa is Professor of Geotechnical Engineering in the School of Civil, Environmental and Mining Engineering at the University of Adelaide, Australia. He has been an academic for more than 30 years, before which, he spent 4 years practising as a consulting geotechnical and civil engineer in Adelaide and Canberra in Australia. He has a Bachelor of Engineering (Honours) degree in Civil Engineering and a PhD, both from the University of Adelaide. He has published more than 200 papers, chapters and reports on various aspects of geotechnical engineering research and teaching. His primary areas of expertise are in the characterisation of the spatial variability of soils, probabilistic analyses, artificial intelligence, ground improvement, unsaturated soils and enhancing learning in geotechnical engineering. He has received several awards recognising his contributions to learning and teaching in geotechnical engineering. Mark is a former Vice-President for Australasia and Treasurer of the International Society for Soil Mechanics and Geotechnical Engineering and Chair of the Australian Geomechanics Society. He is also a past Chair of the ISSMGE’s Technical Committee, TC306, on Geo-engineering Education and a member of TC304, on Risk Assessment and Management.
Professor of Geotechnical Engineering in the School of Civil, Environmental and Mining Engineering at the University of Adelaide, Australia
Abstract
Since artificial intelligence was first applied to geotechnical engineering in the mid-1990s, in the form of artificial neural networks (ANNs), it has shown great promise in providing superior estimates of a wide range of geotechnical behaviours and applications, when compared against traditional techniques. This paper examines two artificial intelligence techniques, namely ANNs and genetic programming (GP), that have been applied successfully by the author and his co-workers to the settlement of shallow and pile foundations, and predicting the performance of rolling dynamic compaction. The paper also examines the benefits and limitations of ANNs and GP in the context of geotechnical engineering, and the process for determining optimal models.
Biography
Mark Jaksa is Professor of Geotechnical Engineering in the School of Civil, Environmental and Mining Engineering at the University of Adelaide, Australia. He has been an academic for more than 30 years, before which, he spent 4 years practising as a consulting geotechnical and civil engineer in Adelaide and Canberra in Australia. He has a Bachelor of Engineering (Honours) degree in Civil Engineering and a PhD, both from the University of Adelaide. He has published more than 200 papers, chapters and reports on various aspects of geotechnical engineering research and teaching. His primary areas of expertise are in the characterisation of the spatial variability of soils, probabilistic analyses, artificial intelligence, ground improvement, unsaturated soils and enhancing learning in geotechnical engineering. He has received several awards recognising his contributions to learning and teaching in geotechnical engineering. Mark is a former Vice-President for Australasia and Treasurer of the International Society for Soil Mechanics and Geotechnical Engineering and Chair of the Australian Geomechanics Society. He is also a past Chair of the ISSMGE’s Technical Committee, TC306, on Geo-engineering Education and a member of TC304, on Risk Assessment and Management.
