cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-e9qy-c391
title: Korea Advanced Institute of Science & Technology (KAIST) Centrifuge Experiments of the Seismic Interaction of a Liquefiable Soil with a Cantilever Retaining Wall
title: in LEAP-RPI-2020: Seismic interaction of a liquefiable soil with a cantilever retaining wall

description: The Liquefaction Experiments and Analysis Projects (LEAP) is an international collaboration to develop a databank of high-quality centrifuge experimental data and to use this data in calibration and validation of numerical tools of soil liquefaction and associated consequences. LEAP-2020 investigated the performance and seismic interaction of a liquefiable (Ottawa sand) soil with a cantilever retaining wall. A total of twenty-three centrifuge model tests were performed at eight centrifuge facilities, as part of a round robin testing program. The experimental results of these tests are published and shared in this archive as eight separate experiments (one experiment per centrifuge facility). Each “experiment” includes a number of tests and each model test includes one or multiple destructive input excitations. The conducted tests cover a broad range of soil relative densities and input motion conditions. These tests provide valuable information on the trends and sensitivity of the soil-retaining wall response to variations in shaking intensity and soil relative density. The eight centrifuge facilities involved in LEAP-2020 program included Ehime University (Japan), KAIST (Korea), Kyoto University (Japan), National Central University (Taiwan), Rensselaer Polytechnic Institute (USA), University of California Davis (USA), University of Cambridge (UK), and Zhejiang University (China). The “Experimental Data Archive Overview” document provides an outline of the associated organization.
description: Three centrifuge tests (KAIST1, KAIST2, KAIST3) were conducted at KAIST to evaluate the seismic response of sheet-pile retaining structures in liquefiable soil for the 2020 Liquefaction Experiments and Analysis Project (LEAP-RPI-2020).
DOI: 10.17603/ds2-ec9j-ek15
title: Phase 1: Pivoting Mass Ply Panel (MPP) Wall and Buckling-Restrained Boundary (BRB) Elements
title: in Emmerson Lab Launch Initiative (ELLI): Cyclic Loading of a Three-Story Building with Lateral Force Resisting Systems (LFRS) using Mass Timber Products and Steel Energy Dissipators

description: This project tests innovative lateral force resisting systems (LFRSs) comprised of newer mass timber products and steel energy dissipation mechanisms. These LFRSs represent a suite of resilient design techniques that can localize damage in special hardware designed to dissipate energy during an earthquake or similar disturbance. The end product is a building that is potentially more resilient to natural disasters than conventional construction. The three-story building in the project is tested in multiple phases, each phase utilizing a different LFRS in terms of design and materials. The experimental data benefit structural engineers, product manufacturers, and building code developers in academic and professional communities. The data can be reused to quantify and compare the structural performance of the LFRS types tested.
description: A lateral force resisting system (LFRS) comprised of one eight-foot-wide Mass Ply Panel (MPP) with Buckling-Restrained Braces (BRBs) was attached to the building frame and tested following a cyclic quasi-static loading protocol up to 4% roof drift ratio. This system was designed to pivot about a pinned base, allowing the wall to rotate with minimal flexural restraint, thereby distributing drift demands more uniformly across the building height and reducing crushing damage at the wall base. Under first-mode loading, the system exhibited stable hysteretic behavior with a nearly uniform story drift profile, while second-mode loading revealed near-linear behavior with high stiffness. Experimental results provide valuable insights into the behavior of mass timber seismic lateral force-resisting systems and can be reused to develop and validate design guidelines for their broader implementation in seismic regions.
DOI: 10.17603/ds2-rybt-pr11
title: Digital Appendix of "Surrogate Modeling of Structural Seismic Response Using Probabilistic Learning on Manifolds"

description: This is the digital appendix of "Surrogate Modeling of Structural Seismic Response Using Probabilistic Learning on Manifolds".  

Probabilistic Learning on Manifolds (PLoM) is used as an alternative method of predicting seismic response of building structures. The PLoM algorithm proposed by Soize and Ghanem is implemented into an open-source Python
package, PLoM and SimCenter tools (quoFEM and EE-UQ). Two use cases are provided to validate and demonstrate the power of the PLoM software package applied to seismic response estimation. The first use case investigates the use of PLoM for predicting responses of buildings with different design parameters. The second use case investigates the use of a PLoM model for predicting building responses under site-specific seismic hazards.

The appendix contains two folders corresponding to the input data files used for the two use cases.
1. "Design&ModelingParameters" folder contains two subdirectories: (1) "EE-UQ_InputFiles" (input files and json configuration files that can be loaded by SimCenter EE-UQ application to automatically create the training and test building models), and (2) "AnalysisResults" (csv files of the response simulation data generated from EE-UQ and used as the input training data and test data sets for the PLoM).
2. "SiteSpecificGroundMotions" folder contains two subdirectories: (1) "OpenSeesModel" (contains the tcl scripts for creating the 12-story frame numerical model in OpenSees as well as the multi-stripe analysis ground motion sets and IDA ground motion set), and (2) "AnalysisResults" (contains three subdirectories for "IDA", "MSA_LosAngeles", and "MSA_SanFrancisco" results).
DOI: 10.17603/ds2-zphj-na15
title: Soil water retention over a year after the 2019 Williams Flats Wildfire
title: in 2019 Williams Flats Wildfire Slope Stability

description: The site was in the intersection between a moderately burn and a high burn severity area. One sensor installation location was selected in the moderately burn area, near an unburned tree (i.e., live tree) and one sensor installation location was selected in the high burn severity area near a burned tree (i.e., dead tree). The trees and undercover vegetation were completely burned in the dead tree location, macropores were present at the location, and ash was covering the soil surface. The live tree location consisted of burned and unburned trees, no apparent macropores or an ash cover was present at the location. The live tree location was selected as a control to understand the temporal changes in water retention in wildfire-burned sites. Water retention data was collected over a year after the wildfire.
description: The study measured soil water retention of a slope after the 2019 Williams Flats Wildfire to better understand post-wildfire forest environments and recovery after a wildfire. There is no other similar dataset. The data can be reused by researchers in a variety of fields including Forestry, Soil Science, and Geotechnical Engineering.
DOI: 10.17603/ds2gx1b
title: One story building with tuned mass damper  - OpenSees
title: in NHERI UCSD Hybrid Simulation Commissioning

description: The use of large shake tables can provide extended capabilities to conduct large- and full-scale tests examining the seismic behavior of structural systems that cannot be readily obtained from reduced scale testing, or under pseudo-dynamic conditions. When considering large or complex structural systems, however, additional challenges arise such as high costs of full scale specimens or capacity limitations of currently available shake table. Some of these limitations can be overcome by real-time hybrid shake-table substructure test method that requires only key parts to  be evaluated experimentally on the shake table while the remainder of the structure is modeled numerically. As a demonstration of the applicability of this method using a large shake tables, a series of hybrid shake table tests were conducted on the UCSD Large High Performance Outdoor Shake Table (LHPOST) with capabilities to test full scale structural models. A physical specimen was built on the LHPOST, and coupled with a numerical model using hybrid simulation techniques. Comparison of different methods to interface the numerical model with the control systems were evaluated. The physical specimen consisted on a rigid mass resting on four triple friction pendulum bearings that represented the upper story of a shear building model having the effect of  a tune mass damper. Numerical models of shear buildings with different periods and multiple degree of freedom were considered to evaluate the performance of the table and stability and accuracy of the simulation results. The teste results demonstrate the effectiveness of tune mass dampers in reducing structural response and the benefit of using a hybrid shake table test method towards expanded system level dynamic testing. The performance of the shake table is evaluated and methods to compensate delay and other sources of error are discussed.
description: Shake table tests of 1 DOF building model with experimental tunned mass damper using UC San Diego shake table (LHPOST). The 1-DOF model was ran using OpenSees/OpenFresco with Simulink for compensation.
DOI: 10.17603/ds2qq39
title: Performance of Buildings on Liquefiable Soils: Evaluation and Mitigation
title: in Performance of Buildings on Liquefiable Soils: Evaluation and Mitigation

description: This research aims to holistically assess the effectiveness of different mitigation techniques (desnification, prefabricated vertical drainage, structural wall, combined densification with drainage, in-ground gravel-rubber panel walls) on the performance of soil-foundation-structure (SFS) systems, considering multiple-degree-of-freedom (MDOF), inelastic structures on liquefiable deposits through centrifuge modeling.
description: This research integrates experimental and numerical methods in geotechnical and structural engineering to investigate the behavior of nonlinear buildings on liquefiable soils and the effectiveness of selected liquefaction remediation strategies in the context of building performance. In this part of the project, we performed a series of centrifuge tests to investigate the influence of the liquefaction mitigation techniques on the seismic site response and performance of the SFS (soil-foundation-structure) system on a layered, liquefiable deposit.
DOI: 10.17603/ds2-2rwn-2409
title: Research Experience for Undergraduates (REU), NHERI 2019: Modeling and Seismic Response of a  Steel-framed Composite Diaphragm Structure

description: In my NHERI REU experience, I participated in a study that produced experimental data on the behavior of steel collector beams under seismic loads. The experimental specimen consisted of a half-scale steel-framed structure with a composite steel-concrete diaphragm. The specimen was tested using UC San Diego's Large High Performance Outdoor Shake Table. Specifically, I developed and calibrated a computer model of the test specimen using the structural analysis software PISA3D. The model reproduced input parameters related to the seismic response prediction of the test specimen within 5% of experimental values.
DOI: 10.17603/ds2-ta3p-pf44
title: TTUKa Deployment for Hurricane Laura (2020)
title: in TTUKa Measurements from the 2020 Hurricane Season

description: TTUKa radar measurements of Hurricane Laura at landfall.
description: Raw radar measurements from the TTUKa radars during the landfall of Hurricanes Laura and Delta in 2020.
DOI: 10.17603/ds2-vsbn-t326
title: Smooth roof pressure tests
title: in Roof gravel motion initiation

description: Data from this project includes pressure and shear stress measurements from the FIU WOW-EF on a square plan building.
description: pressure and shear stress measurements on a smooth flat roof for a square plan building with different parapet heights and wind angles
DOI: 10.17603/ds2-762f-sg15
title: Forward Simulation of Earthquakes in Southern California with UCVMs
title: in Southern California Earthquake Center (SCEC) Simulation Validation for Southern California Basins using Ground Motion Recordings

description: We have simulated a subset of the earthquake events that are included in the NGA-West2 database (Ancheta et al. 2014) for southern California. Figure 1 shows the event locations and the locations of the “stations” where ground motions are computed. The data produced are three-component velocity histories, which are used to compute a variety of intensity measures including response spectra and duration. The time series have a highest usable frequency of 1.0 Hz.

References:

Ancheta, T. D., Darragh, R. B., Stewart, J. P., Seyhan, E., Silva, W. J., Chiou, B. S.-J., Wooddell, K. E., Kottke, A. R., Boore, D. M., Kishida, T., and Donahue, J. L. (2014). NGA-West2 database, Earthquake Spectra 30, 989–1005.
description: This objective of this project is to validate long-period ground motion site amplification associated with basin effects as provided by three-dimensional numerical simulations. Site effects are evaluated from mixed effects residuals analyses, as described for example in Stewart et al. (2017). The simulations are performed for source conditions (location and earthquake size) for which ample recordings are available. This allows site effects in basins to be evaluated in a consistent manner from recorded data and from simulations. The project team was coordinated under the Ground Motion Simulation Validation (GMSV) group within SCEC and include: Chukwuebuka Nweke (UCLA), Jonathan Stewart (UCLA), Scott Brandenberg (UCLA), Robert Graves (USGS), Christine Goulet (USC).

References:

Stewart, J.P., Afshari, K., Goulet, C.A., 2017. Non-ergodic site response in seismic hazard analysis, Earthquake Spectra, 33, 1385-1414.
DOI: 10.17603/ds2-9v8w-y830
title: A Highway Vehicle Routing Dataset During the 2019 Kincade Fire Evacuation
title: in A Highway Vehicle Routing Dataset During the 2019 Kincade Fire Evacuation

description: As wildfires become increasingly more prevalent and severe in California, it is imperative to study how people respond to wildfire events. To support wildfire evacuation research, this project publishes the first dataset to capture highway vehicle routing behavior during the 2019 Kincade Fire, Sonoma County, California. The dataset is completely anonymous and includes a total of 21,160 highway trips from October 16, 2019 to November 13, 2019. Fields of the new dataset include anonymous user ID, latitude of a vehicle’s entrance of a highway, longitude of a vehicle’s entrance of a highway, timestamp of a vehicle’s entrance of a highway, entrance highway, latitude of a vehicle’s exit of a highway, longitude of a vehicle’s exit of a highway, timestamp of a vehicle’s exit of a highway, exit highway. This highway vehicle routing dataset is presented in comma-separated values (CSV) format. We also provide a shapefile of the highways included in the dataset (i.e., U.S. Highway 101, State Highways 1, 12, 37, 116, 121, and 128). This new dataset can be used to better analyze a householder’s evacuation departure time and route choice and to validate the existing evacuation simulation models. This dataset can also serve as an educational instrument to train the next-generation disaster scientists and engineers who can leverage big data analytics for weather-ready research.
description: This mission publishes a dataset to capture highway vehicle routing behavior during the 2019 Kincade Fire, Sonoma County, California. The dataset is extracted from a GPS dataset that was collected from mobile devices. To extract the highway vehicle routing dataset, we firstly use GIS tools to conduct a spatial join for the raw GPS records and the highways. Based on the spatial join results, we extract the GPS records located in the highway areas. After that, we join these GPS records into trajectories based on the identifier and timestamp, and then extract the start and end points of these trajectories as the vehicles’ proxy entrance and exit points of the highways.
DOI: 10.17603/ds2-apc1-6739
title: Wall of Wind - Non-structural Component (FIT House 2021)
title: in Lab Tests with Wireless Sensor Network (WSN) system  for the characterization of strong wind loads on non-structural components

description: The goal is to better understand the interaction of hurricane and other strong wind events with non-structural components of residential structures. The objectives are: 1) to develop a new generation of a wireless pressure monitoring system; 2) to deploy the system in large to full-scale tests at the Wall of Wind (WoW); 3) to measure wind pressures on different non-structural components, for different wind speeds and directions;  4) to analyze field and laboratory data to validate and improve current wind loads recommendations and models for pressure distributions on building components.
description: This experiment is performed to collect pressure data from the Wall of Wind facility, on different non-structural components such as doors, windows, soffits, and fascia for wind speeds of 27 m/s, 40 m/s, 54m/s, 65 m/s, and for wind direction variations from 0 to 180 degrees in increments of 22.5 ̊. A full-scale test model referred to as the “FIT house” was instrumented with a combination of wireless sensor network system (WSNS) pressure sensors in aerodynamic casings, and Scanivalve surface mounted pressure patches connected to WSNS data acquisition board. The WSNS sensors measured absolute pressure at 10 Hz sampling rate. The data was uploaded to DesignSafe in quasi-real time (5 minutes interval). The WSNS sensors were installed on the components with wood screws, and pressure patches were attached to the narrow surfaces with hot glue. The pressure patches were then connected to WSNS boxes via Teflon tubes. The analyses of WSNS pressure data yield the pressure coefficients (Cp) on soffits, fascia, doors, and windows (with and without shutters) which are compared to the Cp values estimated from the ASCE 7-22 wind load provisions. Calibrated data and relevant files are store in SQLite3 database and are queried and processed using Python scripts using a Jupyter notebook - Nonstructural_Analysis_2021.ipynb.
DOI: 10.17603/ds2-fvjh-an98
title: Research Experience (REU), NHERI 2019: Effects of Cyclic Loading on Jacket Foundations of Offshore Wind Turbines in Sandy Soils

description: REU experience hosted and mentored by researchers at UT Austin. Participated in a research team to understand the effects of cyclic loading on jacket foundations. Full project is assigned to Ahmed Hussien of the Unviersity of Texas at Austin.
DOI: 10.17603/ds2-m96p-hn68
title: Social Science Methods—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides an overview of social science methods commonly used in extreme events research. An example of each method is illustrated by drawing on published reports from the Natural Hazards Center’s Quick Response Research Program. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-rp5w-hj05
title: EERI VERT Magna Earthquake Phase 1 Report

description: The Earthquake Engineering Research Institute (EERI) Virtual Earthquake Reconnaissance Team (VERT) is a subcommittee of the Learning from Earthquakes Committee. VERT performs virtual reconnaissance after an earthquake to provide timely multi-disciplinary information to the reconnaissance community to assist in decisions being made after an event. This document is the Phase 1 report for the Magna Earthquake.
DOI: 10.17603/ds2-vcb3-5s82
title: Computing Peak Ground Fractional Response (PGRα)
title: in Fractional Order Intensity Measure for High-Confidence Probabilistic Seismic Demand Modeling of Structures

description: Main File for computing Peak Ground Fractional Response (PGRα)
description: In performance-based earthquake engineering, probabilistic seismic demand models of structures are essential components that provide probabilistic estimates of earthquake-induced demands as a function of a variable(s) called the ground motion intensity measure (IM). Uncertainties in these models are often dependent on the IM used. In other words, an appropriate IM for response prediction play a pivotal role toward reliable probabilistic seismic demand modeling of structures and subsequently, risk and resilience quantification. To this end, a series of novel fractional order (FO) IMs are proposed to release the constraints of traditional integer order IMs such as peak ground acceleration (PGA), velocity (PGV), and displacement (PGD), etc., to yield improved demand models. The developed FO IMs include peak ground response (PGRα), cumulative absolute response (CARα) and its modified version (CAR5α), spectral acceleration at a period of interest for a fractionally damped single degree of freedom (SDF) system (Sad-Tnα) and for a conventional SDF system with fractional response (Sar-Tnα), spectrum intensity for a fractionally damped SDF system (SIdα), as well as for a conventional SDF system with fractional response (SIrα). Superiorities of the developed FO IMs to the traditional IMs are successfully demonstrated using a coupled soil-bridge models considering liquefaction and laterally spreading effects. This demonstration motivates further investigation of these FO IMs for different types of structures or infrastructure systems where introduction of fractional order intensity measures may similarly help to improve performance predictions. Accordingly, seismic risk estimates founded upon the use of these novel IMs have the potential to enhance the confidence and accuracy in future studies.
DOI: 10.17603/ds2-wby0-3s64
title: Peak Wind Effects on Rooftop Photovoltaic Arrays

description: Understanding the peak wind effects on rooftop PV arrays will help in designing arrays that are more resistant to extreme conditions. This research will aid in making these renewable electrical grids much more reliable, and in turn, will positively impact the economy and public safety.