Deep Learning for Safer School Infrastructure: An Interdisciplinary and Cross-organizational Collaboration

Autor: Sydney Nguyen, Gabriel Medina-Kim, Franz Kurfess, Elise St. John, Jingzhe Wu, Gudrun Socher, Anurag Uppuluri, Angie Paola Garcia Arevalo, Erin Sheets

Publikováno v: 2021 ASEE Virtual Annual Conference Content Access Proceedings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25066c073dee8ec8e023aee007bd62aa
https://doi.org/10.18260/1-2--36897

Empirical seismic fragility models for Nepalese school buildings

Autor: Flavia De Luca, Nicola Giordano, Fernando Ramirez Cortes, Anastasios Sextos, Jingzhe Wu, Carina Fonseca Ferreira

Publikováno v: Giordano, N, De Luca, F, Sextos, A, Ramirez Cortes, F, Fonseca Ferreira, C & Wu, J 2020, ' Empirical seismic fragility models for Nepalese school buildings ', Natural Hazards, vol. (2020) . https://doi.org/10.1007/s11069-020-04312-1

Empirical vulnerability models are fundamental tools to assess the impact of future earthquakes on urban settlements and communities. Generally, they consist of sets of fragility curves that are derived from georeferenced post-earthquake damage data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ba6d38e94d204921d3be87357dd433
https://research-information.bris.ac.uk/en/publications/f36a935b-87b2-4d8b-9a6f-aeaa82c6ddb7

Structural seismic resilience evaluation through real-time hybrid simulation with online learning neural networks

Autor: Jingzhe Wu, Brian M. Phillips, Ruiyang Zhang

Publikováno v: International Journal of Lifecycle Performance Engineering. 4:184

Seismic resilience provides a comprehensive assessment of the ability of a community to withstand and recover from earthquake disturbances. To support the design of seismic resilient structures, quantitative assessment of seismic resilience is needed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d776d099c4cffb978ab92daa643cc30c
https://doi.org/10.1504/ijlcpe.2020.108944

A novel sensorless position and speed estimation method for heteropolar inductor machines

Autor: Martin J. Balchin, Jingzhe Wu

Publikováno v: Wu, J & Balchin, M J 2014, A novel sensorless position and speed estimation method for heteropolar inductor machines . in The 16th European Conference on Power Electronics and Applications, EPE '14 ECCE Europe ., 6910921, IEEE, pp. 1-10, 2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014, Lappeenranta, UK United Kingdom, 26/08/14 . https://doi.org/10.1109/EPE.2014.6910921

This paper proposes a novel position/speed estimation method for a special type of armature side excited synchronous machine, namely heteropolar inductor machines, by taking advantage of the machines' unique structural characteristics. The field wind

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516a2e475326a1c1ed55ccab475f6d47
https://doi.org/10.1109/epe.2014.6910921

Analysis of heteropolar inductor machines based on space vectors

Autor: Martin J. Balchin, Jingzhe Wu

Publikováno v: 2013 3rd International Conference on Electric Power and Energy Conversion Systems.

The concept of heteropolar inductor machines is introduced, including the history, general geometry and electrical properties. Modifications are made to conventional topology for improved effectiveness. The armature space vectors and field dynamic eq

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92da3143ce3dcb6e6b1f8e0ffbb1ea2c
https://doi.org/10.1109/epecs.2013.6713012