JOURNAL ARTICLE

MAJOR FERDINAND J.S. DE BRAHM, CONTINENTAL ENGINEER.

  • Published In: Hessians: Journal of the Johannes Schwalm Historical Association, 2024, v. 27. P. 29 1 of 3

  • Database: America: History and Life with Full Text 2 of 3

  • Authored By: Retzer, Henry J. 3 of 3

Abstract

This journal article provides a biographical account of Major Ferdinand J.S. de Brahm, a Continental Engineer during the American Revolutionary War. De Brahm, originally from Germany, was educated as a surveyor and engineer and worked on various engineering projects, including the construction of Fort Sullivan in South Carolina. However, he was eventually replaced due to concerns about his engineering skills. The article also mentions de Brahm's involvement in the Battle of Fort Sullivan and his subsequent promotion to the rank of Major in the Continental Army. The document also includes a translation of de Brahm's military journal during the siege of Charleston in 1780, which provides a detailed account of the events that took place during the siege, including enemy movements, firing of cannons and musketry, and the construction of fortifications. It also mentions the capitulation of Fort Moultrie and the eventual surrender of Charleston to the English army. After the war, de Brahm continued to serve in various military roles and was eventually appointed a member of the court martial in Philadelphia. He retired from service in 1784 and returned to his home in Trier. [Extracted from the article]

Additional Information

  • Source:Hessians: Journal of the Johannes Schwalm Historical Association. 2024/01, Vol. 27, p29
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:2575-3479
  • Accession Number:178664932
  • Copyright Statement:Copyright of Hessians: Journal of the Johannes Schwalm Historical Association is the property of Johannes Schwalm Historical Association, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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