J
John A. Blume
Publications - 8
Citations - 95
John A. Blume is an academic researcher. The author has contributed to research in topics: Modular design & Wireless network. The author has an hindex of 6, co-authored 8 publications receiving 93 citations.
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Dynamic Characteristics of Multistory Buildings
TL;DR: In this article, the effects of shear deformation between floors, joint rotation, over-all flexure, and ground compliance are considered for multistory buildings from earthquake or ground motion from underground nuclear explosion.
Journal Article
Structural Dynamics in Earthquake-Resistant Design
TL;DR: In this paper, the results of a series of analog tests for the modern 20-story structure using four complete earthquake records with 16 various systems of damping and rigidity values.
Design of Wireless Sensor Units with Embedded Statistical Time-Series Damage Detection Algorithms for Structural Health Monitoring
Jerome P. Lynch,Arvind Sundararajan,Kincho H. Law,Anne S. Kiremidjian,Ed Carryer,John A. Blume +5 more
TL;DR: A low-cost wireless sensing unit is designed and fabricated for deployment in a structural monitoring system that uses wireless radios as the sole channel for communications, and a two-tiered time-series damage detection algorithm is implemented.
Laboratory and Field Validation of a Wireless Sensing Unit Design for Structural Monitoring
Jerome P. Lynch,Kincho H. Law,Anne S. Kiremidjian,Ed Carryer,John A. Blume,Charles R. Farrar,Hoon Sohn,David W. Allen,Brett Nadler,Jeannette R. Wait +9 more
TL;DR: The result is the design of a prototype wireless sensing unit that can serve as the fundamental building block of wireless modular monitoring systems (WiMMS) and is validated with a series of tests conducted in the laboratory and the field.
Piezoelectric Structural Excitation using a Wireless Active Sensing Unit
TL;DR: In this article, a wireless active sensing unit is proposed and fabricated for structural control and damage detection applications, where the computational core is provided the task of calculating autoregressive time-series models using input-output time-history data collected from the excited system.