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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There are many regions worldwide which are susceptible to extreme loads such as earthquakes. These can cause loss of life and adverse impacts on civil infrastructures, the environment, and communities. A series of methods and measures have been used to mitigate the effects of these extreme loads. The adopted approaches and methods must enable civil structures to be resilient and sustainable. Therefore, to reduce damage and downtime in addition to protecting life and promoting safety, new resilient structure technologies must be proposed and developed. This special issue book focuses on methods of enhancing the sustainability and resilience of civil infrastructures in the event of extreme loads (e.g., earthquakes). This book contributes proposals of and theoretical, numerical, and experimental research on new and resilient civil structures and their structural performance under extreme loading events. These works will certainly play a significant role in promoting the application of new recoverable structures. Moreover, this book also introduces some case studies discussing the implementation of low-damage structural systems in buildings as well as articles on the development of design philosophies and performance criteria for resilient buildings and new sustainable communities.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; corrosion ; mined-out region ; finite element ; column-top isolation ; pseudodynamic test ; seismic performance ; sustainability prediction ; shear performance ; nonlinear time-history analysis ; shaking table test ; civil infrastructures ; angle section ; seismic connection detail ; cyclic loading test ; extreme loads ; sudden column removal ; flow ; water supply networks ; displacement response spectrum ; cold-formed steel composite shear wall building ; mitigation ; probabilistic framework ; nonlinearity ; optimized section ; corporation ; GM selection ; seismic damage ; natural hazards ; analysis ; spectrum variance ; viscous damper ; Great East Japan Earthquake ; OpenFresco ; Brazier flattening ; substructure ; damage ; model-based ; tapered cross section ; liquefaction ; measurement ; NDE ; settlement ; seismic behavior ; resilience ; hybrid damper ; numerical simulation ; structural response estimates ; probabilistic ; energy-based approximate analysis ; damping effect ; cold-formed steel structure ; silt ; ground motion ; boundary technique ; energy dissipative devices ; reinforced concrete ; cyclic reversal test ; ground improvement ; simplified modeling method ; beam ; girder ; integration algorithm ; force-displacement control ; reinforced concrete frames ; mid-rise ; intermediate column ; time-frequency energy distribution ; single-layer reticulated dome ; structural robustness ; precast slab ; chloride ingress ; dynamic model ; Brazier effect ; earthquake ; sustainability ; carbonation ; replaceable coupling beam ; railway construction ; concrete ; variational method ; shear wall ; progressive collapse ; abnormal loads ; recovery ; earthquakes ; resilience-based design ; disaster ; OpenSees ; seismic analysis ; response surface method ; subway station ; ratcheting effect ; matching pursuit decomposition ; hybrid simulation ; subway induced vibration ; dynamic structural analysis ; numerical simulations ; structural sensitivity ; inflection point ; system restoration ; infinite element boundary ; simulation model ; Monte Carlo simulation ; nonlinear response ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
    Format: application/octet-stream
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  • 2
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Core section label; d15N-N2; d18Oatm; Deuterium excess; Distance; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
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  • 3
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; d15N-N2; d18Oatm; Ice age; Ice age, standard deviation; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 4
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; d15N-N2; d18Oatm; DEPTH, ice/snow; Deuterium excess; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 260 data points
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  • 5
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Deuterium excess; Distance; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 315 data points
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  • 6
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; d15N-N2; d18Oatm; Gas age; Gas age, standard deviation; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 7
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; Carbon dioxide; d15N-N2; d18Oatm; DEPTH, ice/snow; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 8
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age, difference; Age, difference error; Age model, WD2014; blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Distance; Gas age; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 9
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; Carbon dioxide; Core section number; d15N-N2; d18Oatm; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 10
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Accumulation rate in ice equivalent per year; AGE; blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; Temperature, ice/snow; Temperature, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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