Toward self-healing infrastructure systems

M. Amin

doi:10.1109/2.863967

Toward self-healing energy infrastructure systems

IEEE Computer Applications in Power ◽

10.1109/67.893351 ◽

2001 ◽

Vol 14 (1) ◽

pp. 20-28 ◽

Cited By ~ 190

Author(s):

M. Amin

Keyword(s):

Self Healing ◽

Energy Infrastructure ◽

Infrastructure Systems

Download Full-text

More Tolerant Reconstructed Networks Using Self-Healing against Attacks in Saving Resource

Entropy ◽

10.3390/e23010102 ◽

2021 ◽

Vol 23 (1) ◽

pp. 102

Author(s):

Yukio Hayashi ◽

Atsushi Tanaka ◽

Jun Matsukubo

Keyword(s):

Adaptive Capacity ◽

Complex Network ◽

Power Supply ◽

Statistical Physics ◽

Approximate Calculation ◽

Combinatorial Problem ◽

Self Healing ◽

Infrastructure Systems ◽

Reconstructed Network ◽

Node Removal

Complex network infrastructure systems for power supply, communication, and transportation support our economic and social activities; however, they are extremely vulnerable to frequently increasing large disasters or attacks. Thus, the reconstruction of a damaged network is more advisable than an empirically performed recovery of the original vulnerable one. To reconstruct a sustainable network, we focus on enhancing loops so that they are not trees, which is made possible by node removal. Although this optimization corresponds with an intractable combinatorial problem, we propose self-healing methods based on enhancing loops when applying an approximate calculation inspired by statistical physics. We show that both higher robustness and efficiency are obtained in our proposed methods by saving the resources of links and ports when compared to ones in conventional healing methods. Moreover, the reconstructed network can become more tolerant than the original when some damaged links are reusable or compensated for as an investment of resource. These results present the potential of network reconstruction using self-healing with adaptive capacity in terms of resilience.

Download Full-text

Autonomous self-healing polyisoprene elastomers with high modulus and good toughness based on the synergy of dynamic ionic crosslinks and highly disordered crystals

Polymer Chemistry ◽

10.1039/d0py01034k ◽

2020 ◽

Vol 11 (41) ◽

pp. 6549-6558

Author(s):

Yohei Miwa ◽

Mayu Yamada ◽

Yu Shinke ◽

Shoichi Kutsumizu

Keyword(s):

Mechanical Properties ◽

Room Temperature ◽

Self Healing ◽

High Modulus ◽

Disordered Crystals ◽

Ionic Crosslinks

We designed a novel polyisoprene elastomer with high mechanical properties and autonomous self-healing capability at room temperature facilitated by the coexistence of dynamic ionic crosslinks and crystalline components that slowly reassembled.

Download Full-text