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  • 1
    In: Earthquake Spectra, SAGE Publications, Vol. 34, No. 4 ( 2018-11), p. 1693-1719
    Abstract: The 2016 Central Italy earthquake sequence caused numerous landslides over a large area in the Central Apennines. As a result, the Geotechnical Extreme Events Reconnaissance Association (GEER) organized post-earthquake reconnaissance missions to collect perishable data. Given the challenging conditions following the earthquakes, the GEER team implemented a phased reconnaissance approach. This paper illustrates this approach and how it was used to document the largest and most impactful seismically induced landslides. This phased approach relied upon satellite-based interferometric damage proxy maps, preliminary published reports of observed landslides, digital imaging from small unmanned aerial vehicles (UAVs), traditional manual observations, and terrestrial laser scanning. Data collected from the reconnoitered sites were used to develop orthophotos and meshed three-dimensional digital surface models. These products can provide valuable information such as accurate measurements of landslide ground movements in complex topographic geometries or boulder runout distances from rock falls. The paper describes three significant landslide case histories developed and documented with the phased approach: Nera Valley, Village of Pescara del Tronto, and near the villages of Crognaleto and Cervaro.
    Type of Medium: Online Resource
    ISSN: 8755-2930 , 1944-8201
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2183411-8
    SSG: 16,13
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  • 2
    In: Earthquake Spectra, SAGE Publications, Vol. 34, No. 4 ( 2018-11), p. 1547-1555
    Abstract: The Central Italy earthquake sequence nominally began on 24 August 2016 with a M6.1 event on a normal fault that produced devastating effects in the town of Amatrice and several nearby villages and hamlets. A major international response was undertaken to record the effects of this disaster, including surface faulting, ground motions, landslides, and damage patterns to structures. This work targeted the development of high-value case histories useful to future research. Subsequent events in October 2016 exacerbated the damage in previously affected areas and caused damage to new areas in the north, particularly the relatively large town of Norcia. Additional reconnaissance after a M6.5 event on 30 October 2016 documented and mapped several large landslide features and increased damage states for structures in villages and hamlets throughout the region. This paper provides an overview of the reconnaissance activities undertaken to document and map these and other effects, and highlights valuable lessons learned regarding faulting and ground motions, engineering effects, and emergency response to this disaster.
    Type of Medium: Online Resource
    ISSN: 8755-2930 , 1944-8201
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2183411-8
    SSG: 16,13
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Earthquake Spectra Vol. 36, No. 2 ( 2020-05), p. 924-938
    In: Earthquake Spectra, SAGE Publications, Vol. 36, No. 2 ( 2020-05), p. 924-938
    Abstract: We present a database documenting the seismic response of seven instrumented flood control levee segments in Japan. The database includes (1) maps and cross-sections showing levee geometry and instrument layouts; (2) ground motion time series, and (where available) piezometric recordings; (3) reported field performance from post-earthquake reconnaissance (i.e. permanent displacements, other evidence of ground failure); and (4) geotechnical data, including geologic cross-sections, stratigraphy, penetration resistance, and shear wave velocity ( V S ) profiles. The data are complete with respect to these attributes for three sites, with geotechnical data and field performance data missing for two and four sites, respectively. The database contains 150 recordings from 25 events and can be accessed through DOI: 10.21222/C2TC95. Ground motions were processed using standard procedures for Next Generation Attenuation projects. We present example data for a segment damaged by the M9.1 2011 Tohoku-oki earthquake, which includes ground motion and pore water pressure measurements.
    Type of Medium: Online Resource
    ISSN: 8755-2930 , 1944-8201
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2183411-8
    SSG: 16,13
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  Earthquake Engineering & Structural Dynamics Vol. 52, No. 11 ( 2023-09), p. 3201-3215
    In: Earthquake Engineering & Structural Dynamics, Wiley, Vol. 52, No. 11 ( 2023-09), p. 3201-3215
    Abstract: Cone penetration test (CPT) data contains detailed stratigraphic information that is useful in a wide variety of applications. Separating a CPT profile into discrete layers is an important part of many analyses such as critical layer selection in liquefaction triggering analysis, effective stress seismic ground response analysis, analysis of pile shaft and tip resistance, and soil‐pile interaction analysis. The discretization of the profile into layers is often done manually, relying on the judgment of the analyst. This manual approach is cumbersome for datasets that include large numbers of CPT profiles (such as the Next Generation Liquefaction [NGL] database and the New Zealand Geotechnical Database) and it may not be consistent or repeatable because different analysts may discretize a given CPT log in different ways. To overcome these difficulties, we present an approach to automatically divide a CPT profile into discrete layers. Automated layer detection is performed using an unsupervised machine learning technique called agglomerative clustering in combination with two cost functions to identify an optimal number of layers. The algorithm is illustrated using CPT profiles from the NGL database, where the approach is being used in the development of liquefaction triggering and manifestation models. Although the algorithm shows promise for replicating our judgment regarding layering, we recommend visual review of the layering produced by the algorithm to check for reasonableness given the site geology and intended use of the CPT data.
    Type of Medium: Online Resource
    ISSN: 0098-8847 , 1096-9845
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1494583-6
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2017
    In:  Soil Dynamics and Earthquake Engineering Vol. 94 ( 2017-03), p. 179-192
    In: Soil Dynamics and Earthquake Engineering, Elsevier BV, Vol. 94 ( 2017-03), p. 179-192
    Type of Medium: Online Resource
    ISSN: 0267-7261
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
    detail.hit.zdb_id: 1502466-0
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  • 6
    Online Resource
    Online Resource
    Seismological Society of America (SSA) ; 2023
    In:  Bulletin of the Seismological Society of America Vol. 113, No. 2 ( 2023-04-01), p. 782-803
    In: Bulletin of the Seismological Society of America, Seismological Society of America (SSA), Vol. 113, No. 2 ( 2023-04-01), p. 782-803
    Abstract: Peaks in horizontal-to-vertical spectral ratios (HVSRs) of Fourier amplitudes from three-component recordings of ground vibrations without undue local anthropogenic influence are used to identify site resonances, which are an important component of site response. We address two topics: (1) how should HVSR peaks be identified and (2) are there appreciable differences in HVSR derived using different instruments recording microtremors and seismic strong ground motions? We propose identifying peaks by considering peak amplitudes relative to neighboring ordinates and peak width. The procedure incorporates a regression tree algorithm that can be tuned to conform with user preferences toward relatively “conservative” or “liberal” peak identification (producing few or many sites with peaks, respectively). We then investigate the consistency of microtremor-based HVSRs (mHVSRs) derived from seismometers and accelerometers, which show a high rate of false negatives (missed peaks) from accelerometers with a full scale of ± 2g or greater. In contrast, mHVSRs derived from collocated temporary and permanent seismometers (optimized to record teleseismic signals) have about 60%–80% consistency (with no apparent bias in peak attributes). This indicates that mHVSRs from accelerometers having a broad full scale are unreliable but that mHVSRs can be reliably obtained from temporary or permanent seismometers. Finally, we compare seismometer-based HVSR from microtremor and earthquake (eHVSRs) sources. Results are consistent for 60%–70% of sites (i.e., both either do or do not have significant peaks, and when peaks are present, they occur at similar frequencies, & lt;20% change). For sites with an mHVSR peak, the rate of corresponding eHVSR peaks is nearly 50%, whereas for sites without an mHVSR peak the eHVSR peak rate is low (about 20%). The mismatch rate for mHVSR peak sites is sufficiently high that the use of eHVSR to derive site response models is likely too optimistic (overestimates model effectiveness); mHVSR is preferred for consistency with information available in forward applications.
    Type of Medium: Online Resource
    ISSN: 0037-1106 , 1943-3573
    Language: English
    Publisher: Seismological Society of America (SSA)
    Publication Date: 2023
    detail.hit.zdb_id: 2065447-9
    SSG: 16,13
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  • 7
    In: Bulletin of the Seismological Society of America, Seismological Society of America (SSA), Vol. 110, No. 4 ( 2020-08-01), p. 1549-1566
    Abstract: The 2019 Ridgecrest earthquake sequence produced a 4 July M 6.5 foreshock and a 5 July M 7.1 mainshock, along with 23 events with magnitudes greater than 4.5 in the 24 hr period following the mainshock. The epicenters of the two principal events were located in the Indian Wells Valley, northwest of Searles Valley near the towns of Ridgecrest, Trona, and Argus. We describe observed liquefaction manifestations including sand boils, fissures, and lateral spreading features, as well as proximate non-ground failure zones that resulted from the sequence. Expanding upon results initially presented in a report of the Geotechnical Extreme Events Reconnaissance Association, we synthesize results of field mapping, aerial imagery, and inferences of ground deformations from Synthetic Aperture Radar-based damage proxy maps (DPMs). We document incidents of liquefaction, settlement, and lateral spreading in the Naval Air Weapons Station China Lake US military base and compare locations of these observations to pre- and postevent mapping of liquefaction hazards. We describe liquefaction and ground-failure features in Trona and Argus, which produced lateral deformations and impacts on several single-story masonry and wood frame buildings. Detailed maps showing zones with and without ground failure are provided for these towns, along with mapped ground deformations along transects. Finally, we describe incidents of massive liquefaction with related ground failures and proximate areas of similar geologic origin without ground failure in the Searles Lakebed. Observations in this region are consistent with surface change predicted by the DPM. In the same region, geospatial liquefaction hazard maps are effective at identifying broad percentages of land with liquefaction-related damage. We anticipate that data presented in this article will be useful for future liquefaction susceptibility, triggering, and consequence studies being undertaken as part of the Next Generation Liquefaction project.
    Type of Medium: Online Resource
    ISSN: 0037-1106 , 1943-3573
    Language: English
    Publisher: Seismological Society of America (SSA)
    Publication Date: 2020
    detail.hit.zdb_id: 2065447-9
    SSG: 16,13
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Bulletin of Earthquake Engineering Vol. 20, No. 7 ( 2022-05), p. 3071-3076
    In: Bulletin of Earthquake Engineering, Springer Science and Business Media LLC, Vol. 20, No. 7 ( 2022-05), p. 3071-3076
    Type of Medium: Online Resource
    ISSN: 1570-761X , 1573-1456
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2098452-2
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  • 9
    In: Earthquake Spectra, SAGE Publications
    Abstract: Conventional probabilistic seismic hazard analysis (PSHA) is often repeated at many locations independently to develop uniform hazard maps. However, such maps are unsuitable for assessing risk to spatially distributed infrastructure because no single event will produce uniform hazard shaking intensities across a broad region. A robust but computationally expensive approach is to analyze spatially distributed infrastructure systems separately for every event considered in the seismic source characterization model used in the PSHA. This approach may not be practical when many scenario events are considered. An alternative is to select a manageable event subset that, in aggregate, approximately matches the hazard for single or multiple ground motion intensity measures across the spatially distributed system preserving contributions of different magnitudes and distances to the PSHA. We present a flexible and efficient regression-based method that meets these requirements using point-based PSHA results as inputs. The approach is illustrated with a case study of distributed infrastructure in southern California. We demonstrate the efficiency of the method by comparing it to a mixed-integer linear optimization method from the literature.
    Type of Medium: Online Resource
    ISSN: 8755-2930 , 1944-8201
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2183411-8
    SSG: 16,13
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  • 10
    In: San Francisco Estuary and Watershed Science, California Digital Library (CDL), Vol. 14, No. 4 ( 2016-12-28)
    Type of Medium: Online Resource
    ISSN: 1546-2366
    URL: Issue
    Language: Unknown
    Publisher: California Digital Library (CDL)
    Publication Date: 2016
    detail.hit.zdb_id: 2137640-2
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