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ISSN: 0266-8920

Editor-in-Chief: P.D. Spanos

Publisher: Elsevier B.V.

Impact Foctor: 1.855

Abstracting/Indexing: Science Citation Index, SCISEARCH, EI Compendex Plus, Current Contents/Engineering, Computing & Technology, etc.

Website: http://www.journals.elsevier.com/probabilistic-engineering-mechanics/

This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structuraland fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.

From time to time, review papers will be published to provide research and development oriented readers with state-of-the-art analyses of various areas of current interest. In addition, occasional papers of tutorial nature help enhance practice oriented readers' knowledge of the basic probabilistic and statistical techniques that are essential in present-day engineering practice design.

Fields Covered:

Aerospace engineering:

• Damage-tolerant and durability design of aircraft
• Load spectra characterisation
• Random vibration of aerospace structures


Civil engineering:

• Geotechnical applications
• Natural hazards such as earthquakes, hurricanes, and waves
• Stochastic fluid mechanics/hydrology
• Structural response/control under natural hazards


Marine engineering:

• Offshore structures response to wind-induced waves
• Ship motion in a random sea


Mechanical engineering:

• Fatigue design
• Mechanical systems response/control
• Vehicle vibration
• Vibration isolation


Nuclear engineering:

• Probabilistic risk assessment
• Structural and equipment response to accidental loads


Common to all disciplines:

• Composite materials
• Damage mechanics
• Monte Carlo simulation
• Random fields
• Stochastic finite elements
• Stochastic optimization
• System reliability.

All submissions to the journal must be submitted online at 
http://ees.elsevier.com/prem/.

For more information about submission:
http://www.elsevier.com/journals/probabilistic-engineering-mechanics/0266-8920/guide-for-authors.


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