Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Antoinette Tordesillas"'
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 2084-2110 (2022)
Coverage, resolution, and accuracy in the spatial and temporal estimates of remotely sensed precipitation from space satellites, along with the number of instruments deployed to deliver these observations, are increasing. Of key interest in this stud
Externí odkaz:
https://doaj.org/article/c6c1e485021a4fd29bf719b39921537d
Publikováno v:
Forecasting, Vol 3, Iss 4, Pp 850-867 (2021)
High-dimensional, non-stationary vector time-series data are often seen in ground motion monitoring of geo-hazard events, e.g., landslides. For timely and reliable forecasts from such data, we developed a new statistical approach based on two advance
Externí odkaz:
https://doaj.org/article/bb63053ea8f34362bc3cccb6d985d0d1
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 21 (2023)
Landslides are nonstationary and nonlinear phenomena, which are often recorded as high-dimensional vector time series manifesting spatiotemporal dependence. Contemporary econometric methods use error-correction cointegration (ECC) and vector autoregr
Externí odkaz:
https://doaj.org/article/fd5e5984aec64096a2935099b72451b3
Autor:
Antoinette Tordesillas, Sanath Kahagalage, Lachlan Campbell, Pat Bellett, Emanuele Intrieri, Robin Batterham
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract Impending catastrophic failure of granular earth slopes manifests distinct kinematic patterns in space and time. While risk assessments of slope failure hazards have routinely relied on the monitoring of ground motion, such precursory failur
Externí odkaz:
https://doaj.org/article/0eb7dd6d39964841a0b1fcb5d38442fb
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract We propose a new metric called s-LID based on the concept of Local Intrinsic Dimensionality to identify and quantify hierarchies of kinematic patterns in heterogeneous media. s-LID measures how outlying a grain’s motion is relative to its
Externí odkaz:
https://doaj.org/article/e58d6742d10b4a4387085041400902ae
Publikováno v:
Environmental Research: Climate, Vol 2, Iss 1, p 011002 (2023)
Changing climate in Australia has significant impacts on the country’s economy, environment and social well-being. Addressing such impacts, particularly that of precipitation change, entails immediate action due to the more frequent occurrence of e
Externí odkaz:
https://doaj.org/article/510b5a7499fd4840acb0fc0f6d477c93
Publikováno v:
Frontiers in Materials, Vol 7 (2020)
A disordered and heterogeneous, quasi-brittle granular material can withstand certain levels of internal damage before global failure. This robustness depends not just on the bond strengths but also on the topology and redundancy of the bonded contac
Externí odkaz:
https://doaj.org/article/c2eb5bdd924540458f704d55f96c8338
Autor:
Kushwant Singh, Antoinette Tordesillas
Publikováno v:
Entropy, Vol 22, Iss 1, p 67 (2020)
Patterns in motion characterize failure precursors in granular materials. Currently, a broadly accepted method to forecast granular failure from data on motion is still lacking; yet such data are being generated by remote sensing and imaging technolo
Externí odkaz:
https://doaj.org/article/2ed0f09f7dd648f1a8b21bf5431dc0a7
Autor:
Reena Patel, Guillermo Riveros, David Thompson, Edward Perkins, Jan Jeffery Hoover, John Peters, Antoinette Tordesillas
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 2, p 47 (2019)
This work presents a transdisciplinary, integrated approach that uses computational mechanics experiments with a flow network strategy to gain fundamental insights into the stress flow of high-performance, lightweight, structured composites by invest
Externí odkaz:
https://doaj.org/article/03e013eb73b547b6976bbf61b9ae5d82
The science of complex materials continues to engage researchers from a vast range of disciplines, including physics, mathematics, computational science, and virtually all domains of engineering.This volume presents a unique multidisciplinary panoram
