Renjie Wu

Peter led the NHERI@UTexas workshop on Fiber Optic Distributed Acoustic Sensing (DAS)

Peter Hubbard led the NHERI@UTexas workshop on Fiber Optic Distributed Acoustic Sensing (DAS) for Infrastructure Engineering and Subsurface Imaging.  Peter and Prof. Kenichi Soga gave presentations and John Murphy was also very much involved. The NHERI@UTexas experimental facility, in collaboration with University of California, Berkeley, the U.S. Army Corps of Engineers (USACE), and the Engineer Research and Development Center (ERDC) hosted a workshop on Fiber… Read More »Peter led the NHERI@UTexas workshop on Fiber Optic Distributed Acoustic Sensing (DAS)

ASCE TechTalk: Emerging Technologies for Infrastructure Resilience

Prof. Kenichi Soga gave a presentation at ASCE TechTalk. The resilience of infrastructure systems to changing natural and social-technical environments is essential for life quality and public security in built environments. The quantification of infrastructure system resilience is a challenge for both stakeholders and service providers. Sensing, computing, and construction technologies are being developed to enhance the resilience of the built environment, particularly for establishing… Read More »ASCE TechTalk: Emerging Technologies for Infrastructure Resilience

Unity for Humanity Summit 2021

Prof. Kenichi Soga gave a presentation in Unity for Humanity Summit 2021. The presented topic is “Transforming communities with RT3D programs”, which discusses how education institutions are using real-time 3D to drive positive social impact.       

UC Berkeley and EBMUD announce new Center for Smart Infrastructure

  UC Berkeley and the East Bay Municipal Utility District (EBMUD) are teaming up to launch a new research and innovation center that will apply cutting-edge technology to address infrastructure challenges our communities face due to climate change, aging systems and natural hazards. Researchers at the new Center for Smart Infrastructure, to be based at the UC Berkeley’s Richmond Field Station, will develop and use… Read More »UC Berkeley and EBMUD announce new Center for Smart Infrastructure

Machine Learning for Construction and Infrastructure

The group conducts research on utilizing and developing data analytics techniques to better understand and solve complex problems in underground construction and infrastructure. Please click on the images below to learn more about ongoing works Automated NATM work progress identification Measuring tunnel lining deformation with computer vision techniques Modeling EPBM excavation processes using Bayesian Networks   Prediction and control of TBM trajectory Supervised and unsupervised… Read More »Machine Learning for Construction and Infrastructure

Bridge Crush! Infrastructure Sensing and Modeling

Students are having fun (also learning) during the CE170A Infrastructure Sensing and Modeling class, taught by Professor Kenichi Soga, Professor Dimitrios Zekkos, Professor Robert Kayen, Dr. Bingyu Zhao, and Renjie Wu as GSI.  Three aluminum model bridges are designed, built and tested for the class. Various sensing technologies are applied during test: Linear Variable Differential Transformer (LVDT) for displacement measurement, Wireless Tilt Meters for tilting… Read More »Bridge Crush! Infrastructure Sensing and Modeling

Technical e-Forum on Machine Learning and Big Data Analysis on Tunneling and Tunnel Mechanics

Our group participated on Technical e-Forum on Machine Learning and Big Data Analysis on Tunneling and Tunnel Mechanics. This forum was held on Thursday, July 1, 2021, by International Soil Mechanics and Geotechnical Engineering (ISSMGE) Technical Committee 309, China Civil Engineering Society – Engineering Risk and Insurance Research Branch, and Tongji University. The forum comprised of 10 talks from 11 speakers: China (mainland 6, Hongkong… Read More »Technical e-Forum on Machine Learning and Big Data Analysis on Tunneling and Tunnel Mechanics

New report on wildfire evacuations for Paradise and Bolinas, CA

A new technical report is recently completed by the Soga Research Group highlighting the socio-technological challenges faced by California communities in wildfire evacuations. In this interdisciplinary effort, a team formed by researchers in wildfire simulations, communication process modeling, and traffic simulations, worked closely with community partners to identify and reconstruct realistic evacuation scenarios for the two case study areas in Bolinas and Paradise, CA. A… Read More »New report on wildfire evacuations for Paradise and Bolinas, CA

SRG researchers take on working platform design using DFOS

A team from the Soga Research Group led by Ph.D. candidate Peter Hubbard is working with a team from Malcolm Drilling led by Peter Faust to assess the performance of working platforms in San Francisco when subject to large loads from drilling rigs using distributed fiber optic sensors (DFOS). A working platform is a layer of material that is placed on top of the existing… Read More »SRG researchers take on working platform design using DFOS

Best Poster Award- Signals in the Soil Workshop

Ruonan Ou’s work “Soil Fracture Generation Monitoring using Distributed Fiber Optic Sensing (DFOS) Technology”  won the Best Poster Award in the Virtual Signals in the Soil (SitS) Workshop hosted by the National Science Foundation (NSF), the USDA-National Institute of Food and Agriculture (NIFA), and the United Kingdom Research and Innovation (UKRI) councils. Congratulations , Ruonan!  Fig.1   Instrumentation of distributed fiber optic sensors in the soil inside a… Read More »Best Poster Award- Signals in the Soil Workshop