𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Seismic response of critical interdependent networks

✍ Scribed by Leonardo Dueñas-Osorio; James I. Craig; Barry J. Goodno

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
465 KB
Volume
36
Category
Article
ISSN
0098-8847

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Connectivity models of interdependency i
Connectivity models of interdependency in mixed-type critical infrastructure networks
✍ Nils Kalstad Svendsen; Stephen D. Wolthusen 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 428 KB

Determining interdependencies and cascading failure modes in critical infrastructures is a complex problem that is exacerbated further by the diverging characteristics of the interconnected infrastructure types. Services in some types of infrastructure such as telecommunications or the electric grid

Dynamical response to perturbation of cr
Dynamical response to perturbation of critical Boolean networks
✍ Samyr S.B. Jácome; André A. Moreira; José S. Andrade Jr. 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 523 KB

Boolean networks can be used as simple but general models for complex self-organizing systems. The freedom to choose different rules and structures of interactions makes this model applicable to a wide variety of complex phenomena. It is known that the damage dynamics in annealed Boolean systems sho

The critical angle of seismic incidence
The critical angle of seismic incidence and the maximum structural response
✍ López, Oscar A.; Torres, Ronald 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 291 KB 👁 2 views

A simple method which can be applied in seismic codes to determine the critical angle of seismic incidence and the corresponding peak response of structures subjected to two horizontal components applied along any arbitrary directions and to the vertical component of earthquake ground motion, is pro

Control of structural seismic response b
Control of structural seismic response by self-recurrent neural network (SRNN)
✍ He, Yu-Ao; Wu, Jianjun 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 108 KB 👁 2 views

A new paradigm called self-recurrent neural network (SRNN) is proposed. Two SRNNs are utilized in a control system, one as an emulator and the other as a controller. To guarantee convergence and for faster learning, an approach using adaptive learning rate is developed by Lyapunov function. Finally,