Hong-Nan Li

What is he best known for?

The fields of study he is best known for:

• Structural engineering
• Composite material
• Mechanical engineering

Hong-Nan Li mainly focuses on Structural engineering, Structural health monitoring, Transducer, Finite element method and Vibration. His work deals with themes such as Actuator and Shape-memory alloy, which intersect with Structural engineering. His Structural health monitoring research integrates issues from Algorithm, Modal and System identification.

His OpenSees study in the realm of Finite element method connects with subjects such as Fragility. The various areas that he examines in his Vibration study include Control theory, Transmission, Bridge, Simulation and Equations of motion. His Damper study incorporates themes from Vibration control and SMA*.

His most cited work include:

• Recent applications of fiber optic sensors to health monitoring in civil engineering (603 citations)
• Applications of shape memory alloys in civil structures (431 citations)
• Optimal sensor placement for structural health monitoring based on multiple optimization strategies (201 citations)

What are the main themes of his work throughout his whole career to date?

Structural engineering, Structural health monitoring, Damper, Vibration and Transmission tower are his primary areas of study. In his research on the topic of Structural engineering, SMA* is strongly related with Shape-memory alloy. His Structural health monitoring study integrates concerns from other disciplines, such as Algorithm, Modal and Mathematical optimization.

His study in Identification extends to Modal with its themes. His study in Damper is interdisciplinary in nature, drawing from both Earthquake shaking table, Vibration control and Control theory. The Transmission tower study combines topics in areas such as Transmission and Meteorology, Wind engineering.

He most often published in these fields:

• Structural engineering (67.11%)
• Structural health monitoring (15.98%)
• Damper (13.16%)

What were the highlights of his more recent work (between 2018-2021)?

• Structural engineering (67.11%)
• Transmission tower (14.66%)
• Identification (6.02%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Structural engineering, Transmission tower, Identification, Fragility and Bridge. As a member of one scientific family, Hong-Nan Li mostly works in the field of Structural engineering, focusing on Frame and, on occasion, Damper. His studies in Transmission tower integrate themes in fields like Typhoon, Meteorology and Transmission.

His biological study deals with issues like Modal, which deal with fields such as Bridge. Hong-Nan Li focuses mostly in the field of Bridge, narrowing it down to matters related to Influence line and, in some cases, Hilbert–Huang transform. His Tower research incorporates elements of Position and Nonlinear system.

Between 2018 and 2021, his most popular works were:

• Clustering Number Determination for Sparse Component Analysis during Output-Only Modal Identification (25 citations)
• Full-scale test and its numerical simulation of a transmission tower under extreme wind loads (13 citations)
• Full-scale test and its numerical simulation of a transmission tower under extreme wind loads (13 citations)

In his most recent research, the most cited papers focused on:

• Structural engineering
• Composite material
• Mechanical engineering

Hong-Nan Li spends much of his time researching Structural engineering, Fragility, Transmission tower, Environmental science and Identification. His biological study spans a wide range of topics, including Hydrogeology and Corrosion. His Transmission tower research is multidisciplinary, incorporating perspectives in Uncertainty analysis, Transmission and Transmission line.

His Identification research includes elements of Bridge, Modal, Control engineering and Influence line. Component analysis, Pattern recognition, Blind signal separation and Vibration is closely connected to Cluster analysis in his research, which is encompassed under the umbrella topic of Modal. His studies deal with areas such as Automatic learning, Real-time computing, Firefly algorithm and Structural monitoring as well as Structural health monitoring.