Multidisciplinary Design Optimization for Aerospace Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 66
Special Issue Editors
Interests: aircraft design; optimization; sustainability; safety; certification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Aerospace systems designers must deal with complex system engineering challenges that include constraints imposed from safety regulations and environment/sustainability/performance considerations while ensuring efficiency and cost competitiveness. The design of complex aerospace systems is a multidisciplinary exercise that couples multiple domains like aerodynamics, structures, propulsion, and control. Establishing system performance models that can integrate these domains with sufficient fidelity requires distinct groups of highly skilled experts and system integrators.
Multidisciplinary Design Optimization (MDO) is a field that builds a layer of mathematical optimization algorithms atop such integrated system models to design and optimize them. MDO can be conducted at different stages of system design and development. Incorporating MDO processes with suitable fidelity in different development phases greatly mitigates risks in program costs and delivery timelines.
In this Special Issue, we invite contributions that showcase the latest approaches related to multidisciplinary design optimization technology in aerospace applications. We call for papers for this Special Issue on topics and themes that include (but are not limited to) the following:
- Advances in aerospace MDO techniques related to:
- MDO architectures;
- Artificial intelligence and machine learning-based approaches;
- Multi-fidelity optimization;
- Reliability-based design optimization (RBDO);
- Optimization under uncertainty (OUU);
- Surrogate-based approaches, including reduced order models or decomposition-based methods.
- Demonstrations of new aerospace MDO applications that couple at least two or more disciplines, such as:
- Structures, aerodynamics, propulsion, flight mechanics, or controls;
- Cost and manufacturing;
- Novel electric architectures;
- Certification and safety;
- Integration between model-based systems engineering (MBSE) and MDO.
Dr. Mayank Bendarkar
Dr. Sarojini Darshan
Guest Editors
Manuscript Submission Information
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Keywords
- multidisciplinary design optimization
- aircraft design
- robust design
- reliability-based design optimization
- model-based systems engineering and optimization
- multi-fidelity optimization
- optimization under uncertainty
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