Rensselaer Polytechnic Institute

About: Rensselaer Polytechnic Institute is a education organization based out in Troy, New York, United States. It is known for research contribution in the topics: Terahertz radiation & Population. The organization has 19024 authors who have published 39922 publications receiving 1414699 citations. The organization is also known as: RPI & Rensselaer Institute.

Durability Studies of PBI‐based High Temperature PEMFCs

Abstract: Long-term durability testing of polybenzimidazole (PBI)-based polymer electrolyte membrane (PEM) fuel cells was performed using test protocols designed to simulate fuel cell operational situations which may be found in real applications. The fuel cell voltages and phosphoric acid (PA) loss were carefully monitored over thousands of hours and hundreds of cycles. In the typical operating range for high temperature PEM fuel cells (160 °C), the fuel cell voltage degradation rate was 4.9 μV h–1 for steady-state operation. The PA loss rates were generally low and indicated that long-term operation (>10,000 h) was possible without significant performance degradation due to PA loss from the membrane. Dynamic durability tests also showed that the PA loss rate from the membrane electrode assemblies (MEAs) depended on cell operating temperature and load conditions. Under all conditions, the PA loss was a relatively small amount of the total PA in the membrane.

Lattice Discrete Particle Model (LDPM) for failure behavior of concrete. II: Calibration and validation

Abstract: The Lattice Discrete Particle Model (LDPM) formulated in the preceding Part I of this study is calibrated and validated in the present Part II. Calibration and validation is performed by comparing the results of numerical simulations with experimental data gathered from the literature. Simulated experiments include uniaxial and multiaxial compression, tensile fracture, shear strength, and cycling compression tests.

Multiphysics simulations: Challenges and opportunities

Abstract: We consider multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural” includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.