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You searched for +publisher:"Clemson University" +contributor:("Dr. Qiushi Chen"). Showing records 1 – 9 of 9 total matches.

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Clemson University

1. Esposito, Michael P., III. Modeling the Static and Dynamic Properties of Uncemented, Natural Sands.

Degree: PhD, Civil Engineering, 2015, Clemson University

 Research to quantify the the influence of aging processes (or diagenesis) on the static peak shear strength, the dilatancy, and the small strain dynamic stiffness… (more)

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APA (6th Edition):

Esposito, Michael P., I. (2015). Modeling the Static and Dynamic Properties of Uncemented, Natural Sands. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1735

Chicago Manual of Style (16th Edition):

Esposito, Michael P., III. “Modeling the Static and Dynamic Properties of Uncemented, Natural Sands.” 2015. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1735.

MLA Handbook (7th Edition):

Esposito, Michael P., III. “Modeling the Static and Dynamic Properties of Uncemented, Natural Sands.” 2015. Web. 21 Jan 2021.

Vancouver:

Esposito, Michael P. I. Modeling the Static and Dynamic Properties of Uncemented, Natural Sands. [Internet] [Doctoral dissertation]. Clemson University; 2015. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1735.

Council of Science Editors:

Esposito, Michael P. I. Modeling the Static and Dynamic Properties of Uncemented, Natural Sands. [Doctoral Dissertation]. Clemson University; 2015. Available from: https://tigerprints.clemson.edu/all_dissertations/1735


Clemson University

2. Shen, Mengfen. Probabilistic Assessment of Soil Liquefaction Potential and Mitigation.

Degree: PhD, Civil Engineering, 2018, Clemson University

 It has been well observed and reported that much of the great losses in past earthquakes, such as the 2011 Tohoku earthquake and the 2010-2011… (more)

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APA (6th Edition):

Shen, M. (2018). Probabilistic Assessment of Soil Liquefaction Potential and Mitigation. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2188

Chicago Manual of Style (16th Edition):

Shen, Mengfen. “Probabilistic Assessment of Soil Liquefaction Potential and Mitigation.” 2018. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/2188.

MLA Handbook (7th Edition):

Shen, Mengfen. “Probabilistic Assessment of Soil Liquefaction Potential and Mitigation.” 2018. Web. 21 Jan 2021.

Vancouver:

Shen M. Probabilistic Assessment of Soil Liquefaction Potential and Mitigation. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/2188.

Council of Science Editors:

Shen M. Probabilistic Assessment of Soil Liquefaction Potential and Mitigation. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2188


Clemson University

3. Chen, Diana Ann. The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry.

Degree: PhD, Civil Engineering, 2016, Clemson University

 Our current design philosophy in the creation and planning of our country’s infrastructure exudes an attitude of nonchalance that is incongruous with the significant impact… (more)

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APA (6th Edition):

Chen, D. A. (2016). The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1740

Chicago Manual of Style (16th Edition):

Chen, Diana Ann. “The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry.” 2016. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1740.

MLA Handbook (7th Edition):

Chen, Diana Ann. “The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry.” 2016. Web. 21 Jan 2021.

Vancouver:

Chen DA. The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1740.

Council of Science Editors:

Chen DA. The Adaptable Growth of Seashells: Informing the Design of the Built Environment through Quantitative Biomimicry. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1740


Clemson University

4. Brownlow, Andrew West. Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions.

Degree: PhD, Civil Engineering, 2017, Clemson University

  The time-averaged shear-wave velocity in the top 30 meters of subsurface material (VS30) is a widely used parameter when estimating the potential for amplification… (more)

Subjects/Keywords: Bayesian model ranking; shear wave velocity; site amplification; site conditions

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APA (6th Edition):

Brownlow, A. W. (2017). Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1991

Chicago Manual of Style (16th Edition):

Brownlow, Andrew West. “Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions.” 2017. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1991.

MLA Handbook (7th Edition):

Brownlow, Andrew West. “Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions.” 2017. Web. 21 Jan 2021.

Vancouver:

Brownlow AW. Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1991.

Council of Science Editors:

Brownlow AW. Evaluation and Uncertainty Quantification of VS30 Models Using a Bayesian Framework for Better Prediction of Seismic Site Conditions. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1991

5. Martínez Andino, Marcos Javier. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.

Degree: PhD, Civil Engineering, 2018, Clemson University

 This dissertation aims at describing and examining the compressive and out-of-plane behavior and failure patterns of mortarless masonry prisms and walls through experimental tests and… (more)

Subjects/Keywords: compressive behavior; finite element models; flexural behavior; mortarless masonry; thermal behavior; thermal performance

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APA (6th Edition):

Martínez Andino, M. J. (2018). Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2123

Chicago Manual of Style (16th Edition):

Martínez Andino, Marcos Javier. “Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.” 2018. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/2123.

MLA Handbook (7th Edition):

Martínez Andino, Marcos Javier. “Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.” 2018. Web. 21 Jan 2021.

Vancouver:

Martínez Andino MJ. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/2123.

Council of Science Editors:

Martínez Andino MJ. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2123

6. Stevens, Garrison N. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.

Degree: Civil Engineering, 2016, Clemson University

  Partitioned analysis involves coupling of constituent models that resolve their own scales or physics by exchanging inputs and outputs in an iterative manner. Through… (more)

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APA (6th Edition):

Stevens, G. N. (2016). Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. (Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stevens, Garrison N. “Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.” 2016. Thesis, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stevens, Garrison N. “Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.” 2016. Web. 21 Jan 2021.

Vancouver:

Stevens GN. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. [Internet] [Thesis]. Clemson University; 2016. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stevens GN. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. [Thesis]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Wang, Chaofeng. Multiscale Regional Liquefaction Hazard Assessment and Mapping.

Degree: PhD, Civil Engineering, 2017, Clemson University

 Soil liquefaction is a major cause of damage during earthquakes that could trigger many kinds of ground failures such as ground settlement, lateral spreading, land… (more)

Subjects/Keywords: Geohazard; Geospatial; Liquefaction; Multiscale; Prediction; Random field

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APA (6th Edition):

Wang, C. (2017). Multiscale Regional Liquefaction Hazard Assessment and Mapping. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1960

Chicago Manual of Style (16th Edition):

Wang, Chaofeng. “Multiscale Regional Liquefaction Hazard Assessment and Mapping.” 2017. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1960.

MLA Handbook (7th Edition):

Wang, Chaofeng. “Multiscale Regional Liquefaction Hazard Assessment and Mapping.” 2017. Web. 21 Jan 2021.

Vancouver:

Wang C. Multiscale Regional Liquefaction Hazard Assessment and Mapping. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1960.

Council of Science Editors:

Wang C. Multiscale Regional Liquefaction Hazard Assessment and Mapping. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1960

8. Liu, Wenxin. A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard.

Degree: PhD, Civil Engineering, 2018, Clemson University

 The ground motion parameters such as amplitude, frequency content and the duration can be affected by the local site condition and may result in amplification… (more)

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APA (6th Edition):

Liu, W. (2018). A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2206

Chicago Manual of Style (16th Edition):

Liu, Wenxin. “A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard.” 2018. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/2206.

MLA Handbook (7th Edition):

Liu, Wenxin. “A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard.” 2018. Web. 21 Jan 2021.

Vancouver:

Liu W. A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/2206.

Council of Science Editors:

Liu W. A Geostatistical Approach toward Shear Wave Velocity Modeling and Uncertainty Quantification in Seismic Hazard. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2206

9. Gleaton, Jason. Biocementation of Simulant Martian Regolith.

Degree: MS, Environmental Engineering and Earth Sciences, 2018, Clemson University

  Here on Earth biocementation has been extensively studied and holds promise in producing a more energy efficient and environmentally benign alternative construction materials compared… (more)

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APA (6th Edition):

Gleaton, J. (2018). Biocementation of Simulant Martian Regolith. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2943

Chicago Manual of Style (16th Edition):

Gleaton, Jason. “Biocementation of Simulant Martian Regolith.” 2018. Masters Thesis, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_theses/2943.

MLA Handbook (7th Edition):

Gleaton, Jason. “Biocementation of Simulant Martian Regolith.” 2018. Web. 21 Jan 2021.

Vancouver:

Gleaton J. Biocementation of Simulant Martian Regolith. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_theses/2943.

Council of Science Editors:

Gleaton J. Biocementation of Simulant Martian Regolith. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2943

.