Purim Ladpli
Work Photos Travel Life About

Work

Blade structural engineer at Siemens Gamesa. PhD in Aeronautics and Astronautics, Stanford.

CV (PDF)

Interests

Wind turbine blades, structural health monitoring, energy storage, and sensor networks. Mostly, I’m interested in structures that can sense, store energy, or otherwise do more than carry load.

Expertise

Wind energy, battery energy storage, and the hybrid systems that combine them. My core work is technical risk assessment and FMEA, technical due diligence, and technical and commercial feasibility, with compliance to industry standards like DNVGL and IEC built in. On the people side, I bring systems engineering, project management, and leading multidisciplinary teams from early concept to delivery.

Experience

Blade structural engineer at Siemens Gamesa since 2019, now a senior, working remotely from Bangkok with the team in Denmark. Before that: research and technology advising at Stanford, running the IWSHM conference and the structures lab, plus a couple of short maintenance internships in Thailand.

Thesis

  1. Multifunctional energy storage composites with built-in health monitoring capabilities PhD thesis, Department of Aeronautics and Astronautics, Stanford University, 2019. · purl

Journal papers

  1. A full-scale wind turbine blade monitoring campaign: detection of damage initiation and progression using medium-frequency active vibrations Fremmelev, Ladpli, Orlowitz, Dervilis, McGugan, Branner. Structural Health Monitoring, 22(6), 4171–4193, 2023. · doi
  2. Feasibility study on a full‐scale wind turbine blade monitoring campaign: Comparing performance and robustness of features extracted from medium‐frequency active vibrations Fremmelev, Ladpli, Orlowitz, Dervilis, McGugan, Branner. Wind Energy, 26(10), 1027–1048, 2023. · doi
  3. A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves Haywood-Alexander, Dervilis, Worden, Mills, Ladpli, Rogers. Sensors, 23(1), 185, 2022. · doi
  4. Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing Fremmelev, Ladpli, Orlowitz, Bernhammer, McGugan, Branner. Data-Centric Engineering, 3, 2022. · doi
  5. Characterization of Distributed Microfabricated Strain Gauges on Stretchable Sensor Networks for Structural Applications Chen, Topac, Smith, Ladpli, Liu, Chang. Sensors, 18(10), 3260, 2018. · doi
  6. Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators Ladpli, Kopsaftopoulos, Chang. Journal of Power Sources, 384, 342–354, 2018. · doi
  7. Multifunctional Energy Storage Composite Structures with Embedded Lithium-ion Batteries Ladpli, Nardari, Kopsaftopoulos, Chang. Journal of Power Sources, 414, 517–529, 2018. · doi
  8. Pneumatic stimulation of C. elegans mechanoreceptor neurons in a microfluidic trap Nekimken, Fehlauer, Kim, Manosalvas-Kjono, Ladpli, Memon, Gopisetty, Sánchez, Goodman, Pruitt, Krieg. Lab on a Chip, 17(6), 1116–1127, 2017. · doi
  9. Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers Roy, Ladpli, Chang. Journal of Sound and Vibration, 351, 206–220, 2015. · doi
  10. Sensor Network Configuration Effect on Detection Sensitivity of an Acousto-Ultrasound-Based Active SHM System Janapati, Kopsaftopoulos, Roy, Mueller, Lee, Ladpli, Chang. Structural Health Monitoring, 2013.
  11. Structural Damage Detection Using Ultrasonic Guided Waves Under Varying Ambient Temperature and Loading Environments Roy, Ladpli, Lonkar, Chang. Structural Health Monitoring, 2013.

Conference papers

  1. Dimensionality reduction of active vibration data for detection and monitoring of progressive damage in wind turbine blade Fremmelev, Ladpli, Orlowitz, Dervilis. IWSHM, 2023. · doi
  2. Health Prognostics of Lithium-ion Batteries and Battery-Integrated Structures Ladpli, Liu, Kopsaftopoulos, Chang. IWSHM, 2019. · doi
  3. Estimating Lithium-ion Battery State of Charge and Health with Ultrasonic Guided Waves Using an Efficient Matching Pursuit Technique Ladpli, Liu, Kopsaftopoulos, Chang. IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), 1–5, 2018. · doi
  4. Multifunctional Energy Storage Composites: Analysis and Optimization of Current Density Distribution Ladpli, Chang. ECS Meeting Abstracts, MA2018-01(1), 130, 2018. · doi
  5. Battery State of Charge Estimation using Guided Waves— Numerical Validation and Statistical Analysis Ladpli, Kopsaftopoulos, Chang. IWSHM, 2017. · doi
  6. Battery charge and health state monitoring via ultrasonic guided-wave-based methods using built-in piezoelectric transducers Ladpli, Kopsaftopoulos, Nardari, Chang. SPIE Smart Structures/NDE, 10171, 1017108, 2017. · doi
  7. Development of a Multifunctional Stretchable Sensor Network for Smart Structures Chen, Topac, Smith, Ladpli, Cao, Chang. IWSHM, 2017. · doi
  8. Numerical Model for Characterization of Multifunctional Energy Storage Composite Cells, Modules, and Systems Wang, Bombik, Ladpli, Kopsaftopoulos, Chang. IWSHM, 2017. · doi
  9. Multifunctional Energy Storage Composites: Design, Fabrication, and Experimental Characterization Ladpli, Nardari, Rewari, Liu, Slater, Kepler, Wang, Kopsaftopoulos, Chang. ASME International Conference on Energy Sustainability (ES), 2016. · doi
  10. Decision Making for Reference-Free Damage Detection Hajrya, Kopsaftopoulos, Roy, Ladpli, Chang. IWSHM, 2015. · doi
  11. Multifunctional Energy Storage Composites for SHM Distributed Sensor Networks Ladpli, Nardari, Wang, Hernandez-Gallegos, Rewari, Kuo, Kopsaftopoulos, Kepler, Lopez, Chang. IWSHM, 2015. · doi

Patents

  1. Multifunctional energy storage composites Stanford University · WO2016127122A1 · CA2975874C · granted 2023
  2. Battery state monitoring using ultrasonic guided waves Stanford University · WO2017223219A1 · US11527783B2 · granted 2022
  3. Wind turbine blade, wind turbine, and method for fabrication Siemens Gamesa · EP3967869A1 · EP4172494B1 · granted 2026
  4. Monitoring of blades in wind turbines Siemens Gamesa · EP3954897A1 · pending
  5. Rotor blade monitoring arrangement Siemens Gamesa · EP4040119A1 · US20240369040A1 · pending
  6. Wind turbine rotor blade Siemens Gamesa · WO2022171334A1 · pending
  7. Spar cap assembly Siemens Gamesa · WO2025168370A1 · pending