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1,621 to 1,630 of 1,659 Results

Figure 5.28d.csv Mar 24, 2021 - Year 1, 2 report Data Comma Separated Values - 172.2 KB - MD5: dcba821b3c9a660a305d77bb3a83d68a
Figure 5.29.csv Mar 24, 2021 - Year 1, 2 report Data Comma Separated Values - 245.5 KB - MD5: dce367a9f6312df7deed5cbbb134633f
Figure 5.4.csv Mar 24, 2021 - Year 1, 2 report Data Comma Separated Values - 628 B - MD5: 2c2fcd45bbafddf8b11b54a94bcca254
Table 2.12-2.15.csv Mar 24, 2021 - Year 1, 2 report Data Comma Separated Values - 5.1 KB - MD5: 3efcada97c0e0060ae0c0cccfd7056ec
Data for UTC Region II Year 2 Ranade-Okumus Final Report Mar 24, 2021 - Seismic Vulnerability Assessment of Deteriorated Bridges Ravi Ranade; Pinar Okumus, 2021, "Data for UTC Region II Year 2 Ranade-Okumus Final Report", https://doi.org/10.7910/DVN/BPEPAH, Harvard Dataverse, V1, UNF:6:+VgAjNd7TTIqu82m1S+LkQ== [fileUNF] The seismic vulnerability assessment methods currently used by state DOTs typically rely on as-built conditions of bridges. However, due to environmental deterioration, the structural performance can degrade over time. This research demonstrates the application of a combined durability-fragility assessment framework, developed by the authors, for a...
Data for UTC Region II Year 2 Ranade-Okumus final report.tab Mar 24, 2021 - Data for UTC Region II Year 2 Ranade-Okumus Final Report Tabular Data - 662 B - 2 Variables, 21 Observations - UNF:6:+VgAjNd7TTIqu82m1S+LkQ==
UTC Final Report Data (Locations A and B) Mar 24, 2021 - Real-Time Prediction of Storm Surge and Wave Loading on Coastal Bridges Teng Wu; Shaopeng Li; Kallol Sett, 2021, "UTC Final Report Data (Locations A and B)", https://doi.org/10.7910/DVN/RNXKDX, Harvard Dataverse, V1, UNF:6:kIMnP+EewoH+WZywGLq8kA== [fileUNF] Coastal bridges exhibit significant susceptibility to damages caused by storm surges and waves, which requires probabilistic models to quantify the bridge vulnerability for risk assessment and mitigation activities. This study presents an efficient risk analysis framework integrating hazard analysis and fragility analysis for coastal bridges under...
data_landfall.csv Mar 24, 2021 - UTC Final Report Data (Locations A and B) Comma Separated Values - 120.4 KB - MD5: b4480d57edc2c12602ab0b4cdf9013d8
hist-1.m Mar 24, 2021 - UTC Final Report Data (Locations A and B) MATLAB Source Code - 219 B - MD5: 2bce95577f768b173a0ac0417d82c45a
hist.fig Mar 24, 2021 - UTC Final Report Data (Locations A and B) MATLAB Figure - 53.6 KB - MD5: 09e1d85fe63c211e9a64c458d2ee4151

Figure 5.28d.csv

Mar 24, 2021 - Year 1, 2 report Data

Comma Separated Values - 172.2 KB -

Figure 5.29.csv

Mar 24, 2021 - Year 1, 2 report Data

Comma Separated Values - 245.5 KB -

Figure 5.4.csv

Mar 24, 2021 - Year 1, 2 report Data

Comma Separated Values - 628 B -

Table 2.12-2.15.csv

Mar 24, 2021 - Year 1, 2 report Data

Comma Separated Values - 5.1 KB -

Data for UTC Region II Year 2 Ranade-Okumus Final Report

Mar 24, 2021 - Seismic Vulnerability Assessment of Deteriorated Bridges

Ravi Ranade; Pinar Okumus, 2021, "Data for UTC Region II Year 2 Ranade-Okumus Final Report", https://doi.org/10.7910/DVN/BPEPAH, Harvard Dataverse, V1, UNF:6:+VgAjNd7TTIqu82m1S+LkQ== [fileUNF]

The seismic vulnerability assessment methods currently used by state DOTs typically rely on as-built conditions of bridges. However, due to environmental deterioration, the structural performance can degrade over time. This research demonstrates the application of a combined durability-fragility assessment framework, developed by the authors, for a...

Data for UTC Region II Year 2 Ranade-Okumus final report.tab

Mar 24, 2021 - Data for UTC Region II Year 2 Ranade-Okumus Final Report

Tabular Data - 662 B - 2 Variables, 21 Observations -

UTC Final Report Data (Locations A and B)

Mar 24, 2021 - Real-Time Prediction of Storm Surge and Wave Loading on Coastal Bridges

Teng Wu; Shaopeng Li; Kallol Sett, 2021, "UTC Final Report Data (Locations A and B)", https://doi.org/10.7910/DVN/RNXKDX, Harvard Dataverse, V1, UNF:6:kIMnP+EewoH+WZywGLq8kA== [fileUNF]

Coastal bridges exhibit significant susceptibility to damages caused by storm surges and waves, which requires probabilistic models to quantify the bridge vulnerability for risk assessment and mitigation activities. This study presents an efficient risk analysis framework integrating hazard analysis and fragility analysis for coastal bridges under...

data_landfall.csv

Mar 24, 2021 - UTC Final Report Data (Locations A and B)

Comma Separated Values - 120.4 KB -

hist-1.m

Mar 24, 2021 - UTC Final Report Data (Locations A and B)

MATLAB Source Code - 219 B -

hist.fig

Mar 24, 2021 - UTC Final Report Data (Locations A and B)

MATLAB Figure - 53.6 KB -

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